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Mining is done to liberate minerals from the crust of the earth. This is done in several steps. The steps differ between mines depending on commodity and factors such as composition and quality of the rock, the geometry and location of ore, geology, topology, local environment, legislation and so on. 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 19 行 Data Mining: Concepts and Techniques. Morgan Kauffman Publishers, 2001. Example 6.1 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: 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. 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
Lecture 2: An introduction to mining
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Jiawei Han VideoLectures.NET VideoLectures.NET
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
