DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Rattle Introduction Getting Started Interacting with Rattle Data Exploring Data Test Transforming Data Cluster Analysis Association Analysis Classification and Regression Models Evaluation and Deployment Issues Moving into R Troubleshooting Beyond Rattle R Getting Help Data Graphics in R Understanding Data Preparing Data Descriptive and Predictive Analytics Issues Evaluating Models Text Mining Text Mining Algorithms Bagging Bayes Classifier Cluster Analysis Conditional Trees Hierarchical Clustering K-Nearest Neighbours Linear Models Neural Networks Support Vector Machines Open Products AlphaMiner Borgelt Data Mining Suite KNime R Rattle Weka Closed Products C4.5 Clementine Equbits Foresight GhostMiner InductionEngine ODM Enterprise Miner Statistica Data Miner TreeNet Virtual Predict Appendices Installing Rattle Bibliography Index

Data Mining

Desktop Survival Guide

Welcome to this online version of the Data Mining Desktop Survival Guide. This is a work in progress, and feedback is most welcome.

The procedures and applications presented in this book have been included for their instructional value. They have been tested but are not guaranteed for any particular purpose. Neither the publisher nor the author offer any warranties or representations, nor do they accept any liabilities with respect to the programs and applications.

The material here, as you see it presently, is a work in progress, and different sections are progressed depending on feedback. Please send comments, suggestions, updates, and criticisms to Graham.Williams@togaware.com.

I hope you find it useful!

Printed June 3, 2009  

Copyright © 2006-2009 by Graham Williams

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