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Mining Concepts And Techniques Video Lectures

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DATA MINING CONCEPTS AND TECHNIQUES YouTube

Sep 13, 2018 Data Mining

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Data mining (lecture 1 & 2) conecpts and techniques

May 26, 2012 Major Issues in Data Mining (1)• Mining methodology and user interaction Mining different kinds of knowledge in databases Interactive mining of knowledge at multiple levels of abstraction Incorporation of background knowledge Data mining query languages and ad-hoc data mining Expression and visualization of data mining

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Lecture Notes Data Mining Sloan School of Management

19 行 Data Mining: Concepts and Techniques. Morgan Kauffman Publishers, 2001. Example 6.1

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Jiawei Han VideoLectures.NET VideoLectures.NET

He is an ACM Fellow and has received 2004 ACM SIGKDD Innovations Award and 2005 IEEE Computer Society Technical Achievement Award. His book "Data Mining: Concepts and Techniques" (2nd ed., Morgan Kaufmann, 2006) has been popularly used as a textbook worldwide. Lectures:

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Data Mining: Concepts and Techniques

techniques, coupled with high-performance relational database engines and broad data integration efforts, make these technologies practical for current data warehouse environments. The key to understanding the different facets of data mining is to distinguish between data mining applications, operations, techniques and algorithms.

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Data Mining: Concepts and Techniques

April 3, 2003 Data Mining: Concepts and Techniques 12 Major Issues in Data Mining (2) Issues relating to the diversity of data types! Handling relational and complex types of data! Mining information from heterogeneous databases and global information systems (WWW)! Issues related to applications and social impacts! Application of discovered

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Mining Concepts And Techniques Video Lectures