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Introduction to Data Mining (First Edition) PangNing Tan, Michigan State University, Michael Steinbach, University of Minnesota ... Link to Figures as PowerPoint Slides Links to Data Mining Software and Data Sets Suggestions for Term Papers and Projects Tutorials Errata Solution Manual.
Chapter 8,9 from the book "Introduction to Data Mining" by Tan, Steinbach, Kumar. Lecture 8 a: Clustering Validity, Minimum Description Length (MDL), Introduction to Information Theory, Coclustering using MDL. (ppt, pdf)
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Avoiding False Discoveries: A completely new addition in the second edition is a chapter on how to avoid false discoveries and produce valid results, which is novel among other contemporary textbooks on data mining. It supplements the discussions in the other chapters with a discussion of the statistical concepts (statistical significance, pvalues, false discovery rate, permutation .
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Introduction to Data Mining (First Edition) PangNing Tan, Michigan State University, Michael Steinbach, University of Minnesota ... Link to Figures as PowerPoint Slides Links to Data Mining Software and Data Sets Suggestions for Term Papers .
PPT – An Introduction to Text Mining PowerPoint presentation | free to view id: 9d2baNTZmN. The Adobe Flash plugin is needed to view this content. Get the plugin now. Actions. Remove this presentation Flag as Inappropriate I Don''t Like This I like this Remember as a Favorite. Download Share
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Nov 24, 2012· 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 knowledge Domainspecific data mining tools Intelligent ...
Data Mining: Concepts and Techniques, 3 rd ed. The Morgan Kaufmann Series in Data Management Systems Morgan Kaufmann Publishers, July 2011. ISBN . Slides in PowerPoint. Chapter 1. Introduction . Chapter 2. Know Your Data. Chapter 3. Data Preprocessing . Chapter 4. Data Warehousing and OnLine Analytical Processing. Chapter 5. Data ...
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Notes . Introduction to Data Mining ; Data Issues ; Data Preprocessing ; Classification, part 1 ; Classification, part 2 ; Lecture notes(MDL) Classification, part 3
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