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This page links to many useful data mining tutorials, presentations and white papers. Please note that some of this material may be copyrighted by the original authors. Please contact them directly for information about the same. This list is by no means complete. If you wish a reference to your site/work to appear here , please send us an email at dm.erudition@gmail.com.

Poll: Which of the following would you recommend as the best introductory book on data mining?

	Data Mining: Concepts and Techniques - Han & Kamber
	Data Preparation for Data Mining - Pyle
	Introduction to Data Mining - Tan, Steinbach & Kumar
	Principles of Data Mining - Hand, Mannila & Smyth
	Machine Learning - Mitchell
	The Elements of Statistical Learning - Hastie, Tibshirani & Friedman
	Introduction to Business Data Mining - Olson & Shi
	Predictive Data Mining: a practical guide - Weiss & Indurkhya
	Other
	Books are way too structured and expensive for me!

[View results]

Check out more information about these books here!
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Introduction

Introduction to data mining (Kurt Thearling) Link
Introduction to data mining (Padhraic Smyth) Link
IIntroduction to Data Mining and Knowledge Discovery (Two Crows Corp.) Link
Data Mining Techniques (Statsoft Inc.) Link
Data Mining Tutorial Link
Data Mining Tutorial & Case Studies Link

Classification

Classication: Basic Concepts, Decision Trees, and Model Evaluation (Vipin Kumar) Link
Decision Trees (Andrew Moore) Link
Neural Networks (Andrew Moore) Link

Clustering

Cluster Analysis: Basic concepts and algorithms (Vipin Kumar) Link
K-means and Hierarchical Clustering (Andrew Moore) Link
Cluster Analysis (Jiawei Han) Link

Association Rules, Time Series

Association Analysis: Basic Concepts and Algorithms (Vipin Kumar) Link

Applications

Data Mining in Market Research Link
Mining Customer Data (Gary Saarenvirta) Link
Visual Database Exploration Techniques (Daniel Keim) Link
Data Mining and Document Modeling (Timo Honkela) Link

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