DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Data Mining Data Mining Data Mining with Rattle Introduction Data Transform Explore A Model Building Framework Unsupervised Modelling Two Class Models Multi Class Models Regression Models Text Mining Evaluation and Deployment Moving into R Troubleshooting R for the Data Miner R Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Cluster Analysis Conditional Trees Hierarchical Clustering K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining 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 Appendicies Glossary Bibliography Index

Enterprise Miner:
From SAS

Enterprise Miner is a data mining package with integrated linkage to the popular commercial SAS statistical application. It provides a range of techniques accessed through a graphical user interface, using the node (representing data processing and modelling steps) and link paradigm to build process flows. The product is priced at the higher end of the market with a license restricting its usage to the owner's own data, only--the product is certainly targeted to large enterprises. For smaller projects, SAS/JMP is a good choice, with student pricing starting from about $100.

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