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 Loading Data Exploring Data Test Transforming Data Cluster Analysis 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 Topics in Data Mining Archetype Analysis Text Mining Algorithms Bagging Bayes Classifier Cluster Analysis Conditional Trees Hierarchical Clustering K-Nearest Neighbours Linear Models 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

Help

Extensive help is available through the Help menu. The structure of the menu follows that of the Tabs of the main interface. On selecting a help topic, a brief text popup will display some basic information. Many of the popups then have the option of displaying further information, which will be displayed within a Web browser. This additional documentation is just that which is supplied by the corresponding R package.

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PDF version is properly formatted and forms a comprehensive book (draft with over 700 pages).
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