https://lms.onnocenter.or.id/wiki/index.php?action=history&feed=atom&title=Datamining 2026-04-20T03:44:02Z Revision history for this page on the wiki MediaWiki 1.45.1 https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=61034&oldid=prev 2020-04-08T23:10:31Z

<p><span class="autocomment">Referensi</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 23:10, 8 April 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l7">Line 7:</td> <td colspan="2" class="diff-lineno">Line 7:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Istilah terkait pengerukan data, pemasyarakatan data, dan pengintaian data mengacu pada penggunaan metode data mining untuk mengambil sampel bagian dari kumpulan data populasi yang lebih besar yang mungkin terlalu kecil untuk kesimpulan statistik yang dapat dipercaya mengenai validitas dari setiap Pola ditemukan Metode ini dapat digunakan untuk menciptakan hipotesis baru untuk diuji terhadap populasi data yang lebih besar.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Istilah terkait pengerukan data, pemasyarakatan data, dan pengintaian data mengacu pada penggunaan metode data mining untuk mengambil sampel bagian dari kumpulan data populasi yang lebih besar yang mungkin terlalu kecil untuk kesimpulan statistik yang dapat dipercaya mengenai validitas dari setiap Pola ditemukan Metode ini dapat digunakan untuk menciptakan hipotesis baru untuk diuji terhadap populasi data yang lebih besar.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==Youtube==</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://www.youtube.com/watch?v=YzJVz2ZXjwA YOUTUBE: DATA MINING Overview]</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=56142&oldid=prev 2019-04-20T07:31:18Z

<p><span class="autocomment">Konsep</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 07:31, 20 April 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l17">Line 17:</td> <td colspan="2" class="diff-lineno">Line 17:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Konsep==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Konsep==</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Data Science]]</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Datamining: Konsep]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Datamining: Konsep]]</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Datamining: Classification]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Datamining: Classification]]</div></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=49210&oldid=prev 2017-08-01T04:39:31Z

<p><span class="autocomment">Referensi</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 04:39, 1 August 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l11">Line 11:</td> <td colspan="2" class="diff-lineno">Line 11:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Referensi==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Referensi==</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* http://www.saedsayad.com/data_mining_map.htm</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://en.wikipedia.org/wiki/Data_mining</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://en.wikipedia.org/wiki/Data_mining</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* http://romisatriawahono.net/dm/</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* http://romisatriawahono.net/dm/</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Konsep==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Konsep==</div></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=49197&oldid=prev 2017-08-01T03:47:56Z

<p><span class="autocomment">Konsep</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 03:47, 1 August 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l17">Line 17:</td> <td colspan="2" class="diff-lineno">Line 17:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Konsep==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Konsep==</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Datamining: Konsep]]</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Datamining: Classification]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Datamining: Classification]]</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Pranala Menarik==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Pranala Menarik==</div></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=49194&oldid=prev 2017-08-01T03:46:15Z

<p><span class="autocomment">Pranala Menarik</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 03:46, 1 August 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l13">Line 13:</td> <td colspan="2" class="diff-lineno">Line 13:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://en.wikipedia.org/wiki/Data_mining</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://en.wikipedia.org/wiki/Data_mining</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* http://romisatriawahono.net/dm/</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* http://romisatriawahono.net/dm/</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==Konsep==</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Datamining: Classification]]</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=49153&oldid=prev 2017-07-29T22:19:19Z

<p><span class="autocomment">Pranala Menarik</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 22:19, 29 July 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l20">Line 20:</td> <td colspan="2" class="diff-lineno">Line 20:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Text mining]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Text mining]]</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Orange]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Orange]]</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[WeKa]]</ins></div></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=49135&oldid=prev 2017-07-29T01:42:52Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 01:42, 29 July 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Data mining (<del style="font-weight: bold; text-decoration: none;">the analysis step of the </del>"knowledge discovery in <del style="font-weight: bold; text-decoration: none;">databases</del>" <del style="font-weight: bold; text-decoration: none;">process, or </del>KDD), <del style="font-weight: bold; text-decoration: none;">an interdisciplinary subfield of computer science is the computational process of discovering patterns in large </del>data <del style="font-weight: bold; text-decoration: none;">sets </del>("big data") <del style="font-weight: bold; text-decoration: none;">involving methods at the intersection of [[artificial intelligence]]</del>, <del style="font-weight: bold; text-decoration: none;">[[</del>machine learning<del style="font-weight: bold; text-decoration: none;">]]</del>, <del style="font-weight: bold; text-decoration: none;">[[statistics]]</del>, <del style="font-weight: bold; text-decoration: none;">and [[</del>database <del style="font-weight: bold; text-decoration: none;">systems]]</del>. <del style="font-weight: bold; text-decoration: none;">The overall goal of the </del>data mining <del style="font-weight: bold; text-decoration: none;">process is to extract information from a </del>data <del style="font-weight: bold; text-decoration: none;">set and transform it into an understandable structure for further use</del>. <del style="font-weight: bold; text-decoration: none;">Aside from the raw analysis step</del>, <del style="font-weight: bold; text-decoration: none;">it involves database and </del>data <del style="font-weight: bold; text-decoration: none;">management aspects</del>, <del style="font-weight: bold; text-decoration: none;">data pre</del>-<del style="font-weight: bold; text-decoration: none;">processing</del>, model <del style="font-weight: bold; text-decoration: none;">and inference considerations</del>, <del style="font-weight: bold; text-decoration: none;">interestingness metrics</del>, <del style="font-weight: bold; text-decoration: none;">complexity considerations</del>, <del style="font-weight: bold; text-decoration: none;">post-processing of discovered structures</del>, <del style="font-weight: bold; text-decoration: none;">visualization</del>, <del style="font-weight: bold; text-decoration: none;">and </del>online <del style="font-weight: bold; text-decoration: none;">updating</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Data mining (<ins style="font-weight: bold; text-decoration: none;">tahap analisis proses </ins>"knowledge discovery in <ins style="font-weight: bold; text-decoration: none;">databasebases</ins>" <ins style="font-weight: bold; text-decoration: none;">atau </ins>KDD), <ins style="font-weight: bold; text-decoration: none;">sub bidang ilmu komputer interdisipliner adalah proses komputasi untuk menemukan pola dalam kumpulan </ins>data <ins style="font-weight: bold; text-decoration: none;">yang besar </ins>("big data") <ins style="font-weight: bold; text-decoration: none;">yang melibatkan metode di persimpangan buatan Kecerdasan</ins>, machine learning, <ins style="font-weight: bold; text-decoration: none;">statistik</ins>, <ins style="font-weight: bold; text-decoration: none;">dan sistem </ins>database. <ins style="font-weight: bold; text-decoration: none;">Tujuan keseluruhan dari proses </ins>data mining <ins style="font-weight: bold; text-decoration: none;">adalah mengekstrak informasi dari kumpulan </ins>data <ins style="font-weight: bold; text-decoration: none;">dan mengubahnya menjadi struktur yang mudah dimengerti untuk digunakan lebih lanjut</ins>. <ins style="font-weight: bold; text-decoration: none;">Selain tahap analisis mentah</ins>, <ins style="font-weight: bold; text-decoration: none;">ini mencakup aspek pengelolaan data dan </ins>data, <ins style="font-weight: bold; text-decoration: none;">pra</ins>-<ins style="font-weight: bold; text-decoration: none;">pengolahan</ins>, <ins style="font-weight: bold; text-decoration: none;">pertimbangan </ins>model <ins style="font-weight: bold; text-decoration: none;">dan pertimbangan</ins>, <ins style="font-weight: bold; text-decoration: none;">metrik ketertarikan</ins>, <ins style="font-weight: bold; text-decoration: none;">pertimbangan kompleksitas</ins>, <ins style="font-weight: bold; text-decoration: none;">pemrosesan pasca struktur</ins>, <ins style="font-weight: bold; text-decoration: none;">visualisasi</ins>, <ins style="font-weight: bold; text-decoration: none;">dan pemutakhiran </ins>online.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">The term is a misnomer</del>, <del style="font-weight: bold; text-decoration: none;">because the goal is the extraction of patterns and knowledge from large amount of </del>data, <del style="font-weight: bold; text-decoration: none;">not the extraction </del>(<del style="font-weight: bold; text-decoration: none;">mining</del>) <del style="font-weight: bold; text-decoration: none;">of </del>data <del style="font-weight: bold; text-decoration: none;">itself</del>. <del style="font-weight: bold; text-decoration: none;">It also is a buzzword and is frequently applied to any form of large-scale </del>data <del style="font-weight: bold; text-decoration: none;">or information processing </del>(<del style="font-weight: bold; text-decoration: none;">collection</del>, <del style="font-weight: bold; text-decoration: none;">extraction</del>, <del style="font-weight: bold; text-decoration: none;">warehousing</del>, <del style="font-weight: bold; text-decoration: none;">analysis</del>, <del style="font-weight: bold; text-decoration: none;">and statistics</del>) <del style="font-weight: bold; text-decoration: none;">as well as any application of computer decision support system</del>, <del style="font-weight: bold; text-decoration: none;">including artificial intelligence</del>, <del style="font-weight: bold; text-decoration: none;">machine learning</del>, <del style="font-weight: bold; text-decoration: none;">and business intelligence</del>. <del style="font-weight: bold; text-decoration: none;">The book </del>Data mining: <del style="font-weight: bold; text-decoration: none;">Practical machine learning tools and techniques with </del>Java (<del style="font-weight: bold; text-decoration: none;">which covers mostly machine learning material</del>) <del style="font-weight: bold; text-decoration: none;">was originally to be named just Practical machine learning</del>, <del style="font-weight: bold; text-decoration: none;">and the term </del>data mining <del style="font-weight: bold; text-decoration: none;">was only added for marketing reasons</del>. <del style="font-weight: bold; text-decoration: none;">Often the more general terms </del>(<del style="font-weight: bold; text-decoration: none;">large scale</del>) <del style="font-weight: bold; text-decoration: none;">data analysis and analytics – or</del>, <del style="font-weight: bold; text-decoration: none;">when referring to actual methods</del>, <del style="font-weight: bold; text-decoration: none;">artificial intelligence and machine learning – are more appropriate</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Istilahnya adalah keliru</ins>, <ins style="font-weight: bold; text-decoration: none;">karena tujuannya adalah ekstraksi pola dan pengetahuan dari sejumlah besar </ins>data, <ins style="font-weight: bold; text-decoration: none;">bukan penggalian </ins>(<ins style="font-weight: bold; text-decoration: none;">penambangan</ins>) data <ins style="font-weight: bold; text-decoration: none;">itu sendiri</ins>. <ins style="font-weight: bold; text-decoration: none;">Ini juga merupakan kata kunci dan sering digunakan untuk segala bentuk pemrosesan data atau </ins>data <ins style="font-weight: bold; text-decoration: none;">berskala besar </ins>(<ins style="font-weight: bold; text-decoration: none;">pengumpulan</ins>, <ins style="font-weight: bold; text-decoration: none;">ekstraksi</ins>, <ins style="font-weight: bold; text-decoration: none;">pergudangan</ins>, <ins style="font-weight: bold; text-decoration: none;">analisis</ins>, <ins style="font-weight: bold; text-decoration: none;">dan statistik</ins>) <ins style="font-weight: bold; text-decoration: none;">serta penerapan sistem pendukung keputusan komputer</ins>, <ins style="font-weight: bold; text-decoration: none;">termasuk kecerdasan buatan</ins>, <ins style="font-weight: bold; text-decoration: none;">pembelajaran mesin</ins>, <ins style="font-weight: bold; text-decoration: none;">Dan intelijen bisnis</ins>. <ins style="font-weight: bold; text-decoration: none;">Buku </ins>Data mining: <ins style="font-weight: bold; text-decoration: none;">Alat dan teknik belajar mesin praktis dengan </ins>Java (<ins style="font-weight: bold; text-decoration: none;">yang sebagian besar mencakup materi pembelajaran mesin</ins>) <ins style="font-weight: bold; text-decoration: none;">pada awalnya diberi nama hanya pembelajaran mesin Praktis</ins>, <ins style="font-weight: bold; text-decoration: none;">dan istilah </ins>data mining <ins style="font-weight: bold; text-decoration: none;">hanya ditambahkan karena alasan pemasaran</ins>. <ins style="font-weight: bold; text-decoration: none;">Seringkali analisis dan analisis data istilah umum </ins>(<ins style="font-weight: bold; text-decoration: none;">skala besar</ins>) <ins style="font-weight: bold; text-decoration: none;">- atau</ins>, <ins style="font-weight: bold; text-decoration: none;">bila mengacu pada metode aktual</ins>, <ins style="font-weight: bold; text-decoration: none;">kecerdasan buatan dan pembelajaran mesin - lebih tepat</ins>.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">The actual </del>data <del style="font-weight: bold; text-decoration: none;">mining task is the automatic or </del>semi<del style="font-weight: bold; text-decoration: none;">-automatic analysis of large quantities of </del>data <del style="font-weight: bold; text-decoration: none;">to extract previously unknown, interesting patterns such as groups of </del>data <del style="font-weight: bold; text-decoration: none;">records </del>(cluster <del style="font-weight: bold; text-decoration: none;">analysis</del>), <del style="font-weight: bold; text-decoration: none;">unusual records </del>(<del style="font-weight: bold; text-decoration: none;">anomaly detection</del>), <del style="font-weight: bold; text-decoration: none;">and dependencies </del>(<del style="font-weight: bold; text-decoration: none;">association </del>rule mining). <del style="font-weight: bold; text-decoration: none;">This usually involves using </del>database <del style="font-weight: bold; text-decoration: none;">techniques such as spatial indices</del>. <del style="font-weight: bold; text-decoration: none;">These patterns can then be seen as a kind of summary of the input </del>data, <del style="font-weight: bold; text-decoration: none;">and may be used in further analysis or</del>, <del style="font-weight: bold; text-decoration: none;">for example</del>, <del style="font-weight: bold; text-decoration: none;">in machine learning and predictive analytics</del>. <del style="font-weight: bold; text-decoration: none;">For example</del>, <del style="font-weight: bold; text-decoration: none;">the </del>data mining <del style="font-weight: bold; text-decoration: none;">step might identify multiple groups in the </del>data, <del style="font-weight: bold; text-decoration: none;">which can then be used to obtain more accurate prediction results by a decision support system</del>. <del style="font-weight: bold; text-decoration: none;">Neither the </del>data <del style="font-weight: bold; text-decoration: none;">collection</del>, data <del style="font-weight: bold; text-decoration: none;">preparation</del>, <del style="font-weight: bold; text-decoration: none;">nor result interpretation and reporting is part of the </del>data mining <del style="font-weight: bold; text-decoration: none;">step</del>, <del style="font-weight: bold; text-decoration: none;">but do belong to the overall </del>KDD <del style="font-weight: bold; text-decoration: none;">process as additional steps</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Tugas penambangan </ins>data <ins style="font-weight: bold; text-decoration: none;">sebenarnya adalah analisis otomatis atau </ins>semi <ins style="font-weight: bold; text-decoration: none;">otomatis dari sejumlah besar </ins>data <ins style="font-weight: bold; text-decoration: none;">untuk mengekstrak pola yang tidak diketahui sebelumnya dan menarik seperti kelompok </ins>data <ins style="font-weight: bold; text-decoration: none;">record </ins>(<ins style="font-weight: bold; text-decoration: none;">analisis </ins>cluster), <ins style="font-weight: bold; text-decoration: none;">catatan yang tidak biasa </ins>(<ins style="font-weight: bold; text-decoration: none;">deteksi anomali</ins>), <ins style="font-weight: bold; text-decoration: none;">dan dependensi </ins>(<ins style="font-weight: bold; text-decoration: none;">rules </ins>rule mining) . <ins style="font-weight: bold; text-decoration: none;">Ini biasanya melibatkan penggunaan teknik </ins>database <ins style="font-weight: bold; text-decoration: none;">seperti indeks spasial</ins>. <ins style="font-weight: bold; text-decoration: none;">Pola ini kemudian dapat dilihat sebagai semacam ringkasan </ins>data <ins style="font-weight: bold; text-decoration: none;">masukan</ins>, <ins style="font-weight: bold; text-decoration: none;">dan dapat digunakan untuk analisis lebih lanjut atau</ins>, <ins style="font-weight: bold; text-decoration: none;">misalnya</ins>, <ins style="font-weight: bold; text-decoration: none;">dalam pembelajaran mesin dan analisis prediktif</ins>. <ins style="font-weight: bold; text-decoration: none;">Misalnya</ins>, <ins style="font-weight: bold; text-decoration: none;">langkah </ins>data mining <ins style="font-weight: bold; text-decoration: none;">dapat mengidentifikasi beberapa kelompok dalam </ins>data, <ins style="font-weight: bold; text-decoration: none;">yang kemudian dapat digunakan untuk mendapatkan hasil prediksi yang lebih akurat oleh sistem pendukung keputusan</ins>. <ins style="font-weight: bold; text-decoration: none;">Baik pengumpulan </ins>data, <ins style="font-weight: bold; text-decoration: none;">persiapan </ins>data, <ins style="font-weight: bold; text-decoration: none;">maupun interpretasi dan pelaporan hasil merupakan bagian dari </ins>data mining, <ins style="font-weight: bold; text-decoration: none;">namun merupakan bagian dari keseluruhan proses </ins>KDD <ins style="font-weight: bold; text-decoration: none;">sebagai langkah tambahan</ins>.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">The related terms </del>data <del style="font-weight: bold; text-decoration: none;">dredging</del>, data <del style="font-weight: bold; text-decoration: none;">fishing</del>, <del style="font-weight: bold; text-decoration: none;">and </del>data <del style="font-weight: bold; text-decoration: none;">snooping refer to the use of </del>data mining <del style="font-weight: bold; text-decoration: none;">methods to sample parts of a larger population </del>data <del style="font-weight: bold; text-decoration: none;">set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered. These methods can, however, be used in creating new hypotheses to test against the larger </del>data <del style="font-weight: bold; text-decoration: none;">populations</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Istilah terkait pengerukan </ins>data, <ins style="font-weight: bold; text-decoration: none;">pemasyarakatan </ins>data, <ins style="font-weight: bold; text-decoration: none;">dan pengintaian </ins>data <ins style="font-weight: bold; text-decoration: none;">mengacu pada penggunaan metode </ins>data mining <ins style="font-weight: bold; text-decoration: none;">untuk mengambil sampel bagian dari kumpulan </ins>data <ins style="font-weight: bold; text-decoration: none;">populasi yang lebih besar yang mungkin terlalu kecil untuk kesimpulan statistik yang dapat dipercaya mengenai validitas dari setiap Pola ditemukan Metode ini dapat digunakan untuk menciptakan hipotesis baru untuk diuji terhadap populasi </ins>data <ins style="font-weight: bold; text-decoration: none;">yang lebih besar</ins>.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=49113&oldid=prev 2017-07-28T22:05:57Z

<p><span class="autocomment">Pranala Menarik</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 22:05, 28 July 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l17">Line 17:</td> <td colspan="2" class="diff-lineno">Line 17:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Pranala Menarik==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Pranala Menarik==</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Sekitar Python]]</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Text mining]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Text mining]]</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Orange]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Orange]]</div></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=49112&oldid=prev 2017-07-28T22:04:45Z

<p><span class="autocomment">Pranala Menarik</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 22:04, 28 July 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l18">Line 18:</td> <td colspan="2" class="diff-lineno">Line 18:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Text mining]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [[Text mining]]</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Orange]]</ins></div></td></tr> </table>

Onnowpurbo https://lms.onnocenter.or.id/wiki/index.php?title=Datamining&diff=49111&oldid=prev 2017-07-28T22:04:29Z

<p><span class="autocomment">Referensi</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 22:04, 28 July 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l13">Line 13:</td> <td colspan="2" class="diff-lineno">Line 13:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://en.wikipedia.org/wiki/Data_mining</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://en.wikipedia.org/wiki/Data_mining</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* http://romisatriawahono.net/dm/</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* http://romisatriawahono.net/dm/</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==Pranala Menarik==</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Text mining]]</ins></div></td></tr> </table>

Onnowpurbo