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Introduction to Data Mining (First Edition)

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Chapter 8 from the book "Introduction to Data Mining" by Tan, Steinbach, Kumar. Lecture 7 : Hierarchical clustering, DBSCAN, Mixture models and the EM algorithm ( ppt, pdf )

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Introduction to Data Mining. 12-Data mining is a rapidly growing field of business analytics focused on better understanding of characteristics and patterns among variables in large data sets. It is used to identify and understand hidden patterns that large data sets may contain.

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Slides/Tutorials | Social Media Mining

Tutorials. For a tutorial covering some of the topics in this book see our ICDM 2013 Tutorial on Social Media Mining: Fundamental Issues and Challenges

Introduction to Data Mining - University of Minnesota

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, p-values, false discovery rate, permutation testing ...

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Introduction to Data Mining and Machine Learning Techniques

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Introduction - Data Mining (Third Edition) - 1. This book is an introduction to the young and fast-growing field of data mining (also known as knowledge discovery from data, or KDD for short).

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MINING OVERVIEW Introduction - United Nations

MINING OVERVIEW Introduction The U.S total domestic mining and waste removal for nonfuel mineral materials production amounted to 5.9 billion metric tons (Gt) in 2007 (most current year final ...