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Data Mining: Concepts and T ec hniques Jia w ei Han and Mic heline Kam ber Simon F raser Univ ersit y Note: This man uscript is based on a forthcoming b o ok b y Jia
Data Mining i About the Tutorial Data Mining is defined as the procedure of extracting information from huge sets of data. In other words, we can say that data mining is mining knowledge from data.
J. Gamper, Free University of Bolzano, DWDM 2012/13 Data Warehousing and Data Mining – Introduction – Acknowledgements: I am indebted to Michael Böhlen and Stefano Rizzi for providing me their slides, upon which these lecture notes are based.
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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data.
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Data mining is a process of extracting information and patterns, which are pre- viously unknown, from large quantities of data using various techniques ranging from machine learning to statistical methods. Data could have been stored in
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