Datamining: Konsep - Revision history

Onnowpurbo at 18:06, 31 July 2019

2019-07-31T18:06:17Z

← Older revision		Revision as of 18:06, 31 July 2019
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	sumber: http://www.saedsayad.com/data_mining.htm		sumber: http://www.saedsayad.com/data_mining.htm

	Data Mining (a.k.a. Data Science) adalah tentang menjelaskan masa lalu dan memprediksi masa depan dengan cara analisis data. Data Mining adalah bidang multi-disiplin yang menggabungkan statistik, pembelajaran mesin, kecerdasan buatan dan teknologi database. Nilai aplikasi ~~penambangan~~ data seringkali diperkirakan sangat tinggi. Banyak bisnis yang menyimpan sejumlah besar data selama bertahun-tahun beroperasi, dan penambangan data dapat mengekstraksi pengetahuan yang sangat berharga dari data ini. Bisnis kemudian dapat memanfaatkan pengetahuan yang diekstraksi menjadi lebih banyak klien, lebih banyak penjualan, dan keuntungan lebih besar. Ini juga berlaku di bidang teknik dan medis.		Data Mining (a.k.a. Data Science) adalah tentang menjelaskan masa lalu dan memprediksi masa depan dengan cara analisis data. Data Mining adalah bidang multi-disiplin yang menggabungkan statistik, pembelajaran mesin, kecerdasan buatan dan teknologi database.

			Nilai aplikasi data mining seringkali diperkirakan sangat tinggi. Banyak bisnis yang menyimpan sejumlah besar data selama bertahun-tahun beroperasi, dan penambangan data dapat mengekstraksi pengetahuan yang sangat berharga dari data ini. Bisnis kemudian dapat memanfaatkan pengetahuan yang diekstraksi menjadi lebih banyak klien, lebih banyak penjualan, dan keuntungan lebih besar. Ini juga berlaku di bidang teknik dan medis.

	[[File:DM.png\|center\|200px\|thumb]]		[[File:DM.png\|center\|200px\|thumb]]

Onnowpurbo: /* Pranala Menarik */

2019-07-30T20:50:11Z

Pranala Menarik

← Older revision		Revision as of 20:50, 30 July 2019
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	* [[Data Mining]]		* [[Data Mining]]
			* [[Datamining]]

Onnowpurbo: /* Referensi */

2019-07-30T20:49:23Z

Referensi

← Older revision		Revision as of 20:49, 30 July 2019
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	* http://www.saedsayad.com/data_mining_map.htm		* http://www.saedsayad.com/data_mining_map.htm
	* http://www.saedsayad.com/data_mining.htm		* http://www.saedsayad.com/data_mining.htm


			==Pranala Menarik==

			* [[Data Mining]]

Onnowpurbo at 20:48, 30 July 2019

2019-07-30T20:48:58Z

← Older revision		Revision as of 20:48, 30 July 2019
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	sumber: http://www.saedsayad.com/data_mining.htm		sumber: http://www.saedsayad.com/data_mining.htm

			Data Mining (a.k.a. Data Science) adalah tentang menjelaskan masa lalu dan memprediksi masa depan dengan cara analisis data. Data Mining adalah bidang multi-disiplin yang menggabungkan statistik, pembelajaran mesin, kecerdasan buatan dan teknologi database. Nilai aplikasi penambangan data seringkali diperkirakan sangat tinggi. Banyak bisnis yang menyimpan sejumlah besar data selama bertahun-tahun beroperasi, dan penambangan data dapat mengekstraksi pengetahuan yang sangat berharga dari data ini. Bisnis kemudian dapat memanfaatkan pengetahuan yang diekstraksi menjadi lebih banyak klien, lebih banyak penjualan, dan keuntungan lebih besar. Ini juga berlaku di bidang teknik dan medis.
	Data Mining (a.k.a. Data Science) ~~is about explaining the past and predicting the future by means of~~ data ~~analysis~~. Data ~~mining is a~~ multi-~~disciplinary field which combines statistics~~, ~~machine learning~~, ~~artificial intelligence and~~ database ~~technology~~. ~~The value of~~ data ~~mining applications is often estimated to be very high~~. ~~Many businesses have stored large amounts of~~ data ~~over years of operation~~, ~~and~~ data ~~mining is able to extract very valuable knowledge from this~~ data. ~~The businesses are then able to leverage the extracted knowledge into more clients~~, ~~more sales~~, ~~and greater profits~~. ~~This is also true in the engineering and medical fields~~.

	[[File:DM.png\|center\|200px\|thumb]]		[[File:DM.png\|center\|200px\|thumb]]


	==~~Statistics~~==		==Statistik==
	~~The science of collecting~~, ~~classifying~~, ~~summarizing~~, ~~organizing~~, ~~analyzing~~, ~~and interpreting~~ data.		Ilmu mengumpulkan, mengklasifikasikan, meringkas, mengorganisir, menganalisis, dan menafsirkan data.

	==Artificial Intelligence==		==Artificial Intelligence / Kecerdasan Buatan==
	~~The study of computer algorithms dealing with the simulation of intelligent behaviors in order to perform those activities that are normally thought to require intelligence~~.		Studi tentang algoritma komputer berurusan dengan simulasi perilaku cerdas untuk melakukan aktivitas yang biasanya dianggap membutuhkan kecerdasan.

	==Machine Learning==		==Machine Learning==
	~~The study of computer algorithms to learn in order to improve automatically through experience~~.		Studi tentang algoritma komputer untuk belajar untuk meningkatkan secara otomatis melalui pengalaman.

	==Database==		==Database==
	~~The science and technology of collecting~~, ~~storing and managing~~ data ~~so users can retrieve~~, ~~add~~, ~~update or remove such~~ data.		Ilmu dan teknologi mengumpulkan, menyimpan, dan mengelola data sehingga pengguna dapat mengambil, menambah, memperbarui atau menghapus data tersebut.

	==Data warehousing==		==Data warehousing==
	~~The science and technology of collecting~~, ~~storing and managing~~ data ~~with advanced multi-dimensional reporting services in support of the decision making processes~~.		Ilmu dan teknologi mengumpulkan, menyimpan, dan mengelola data dengan layanan pelaporan multidimensi canggih untuk mendukung proses pengambilan keputusan.

Onnowpurbo at 04:39, 1 August 2017

2017-08-01T04:39:08Z

← Older revision		Revision as of 04:39, 1 August 2017
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	==Referensi==		==Referensi==

			* http://www.saedsayad.com/data_mining_map.htm
	* http://www.saedsayad.com/data_mining.htm		* http://www.saedsayad.com/data_mining.htm

Onnowpurbo at 03:50, 1 August 2017

2017-08-01T03:50:16Z

← Older revision		Revision as of 03:50, 1 August 2017
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	Statistics		==Statistics==
	The science of collecting, classifying, summarizing, organizing, analyzing, and interpreting data.		The science of collecting, classifying, summarizing, organizing, analyzing, and interpreting data.

	Artificial Intelligence		==Artificial Intelligence==
	The study of computer algorithms dealing with the simulation of intelligent behaviors in order to perform those activities that are normally thought to require intelligence.		The study of computer algorithms dealing with the simulation of intelligent behaviors in order to perform those activities that are normally thought to require intelligence.

	Machine Learning		==Machine Learning==
	The study of computer algorithms to learn in order to improve automatically through experience.		The study of computer algorithms to learn in order to improve automatically through experience.

	Database		==Database==
	The science and technology of collecting, storing and managing data so users can retrieve, add, update or remove such data.		The science and technology of collecting, storing and managing data so users can retrieve, add, update or remove such data.

	Data warehousing		==Data warehousing==
	The science and technology of collecting, storing and managing data with advanced multi-dimensional reporting services in support of the decision making processes.		The science and technology of collecting, storing and managing data with advanced multi-dimensional reporting services in support of the decision making processes.

Onnowpurbo: Created page with "sumber: http://www.saedsayad.com/data_mining.htm Data Mining (a.k.a. Data Science) is about explaining the past and predicting the future by means of data analysis. Data mi..."

2017-08-01T03:49:29Z

Created page with "sumber: http://www.saedsayad.com/data_mining.htm Data Mining (a.k.a. Data Science) is about explaining the past and predicting the future by means of data analysis. Data mi..."

New page

sumber: http://www.saedsayad.com/data_mining.htm

Data Mining (a.k.a. Data Science) is about explaining the past and predicting the future by means of data analysis. Data mining is a multi-disciplinary field which combines statistics, machine learning, artificial intelligence and database technology. The value of data mining applications is often estimated to be very high. Many businesses have stored large amounts of data over years of operation, and data mining is able to extract very valuable knowledge from this data. The businesses are then able to leverage the extracted knowledge into more clients, more sales, and greater profits. This is also true in the engineering and medical fields.

[[File:DM.png|center|200px|thumb]]

Statistics
The science of collecting, classifying, summarizing, organizing, analyzing, and interpreting data.

Artificial Intelligence
The study of computer algorithms dealing with the simulation of intelligent behaviors in order to perform those activities that are normally thought to require intelligence.

Machine Learning
The study of computer algorithms to learn in order to improve automatically through experience.

Database
The science and technology of collecting, storing and managing data so users can retrieve, add, update or remove such data.

Data warehousing
The science and technology of collecting, storing and managing data with advanced multi-dimensional reporting services in support of the decision making processes.

==Referensi==

* http://www.saedsayad.com/data_mining.htm