Software for Classification using multiple approaches

• Affinium Model Suite, includes linear regression, logistic regression, CHAID, neural networks, and genetic algorithms.

Tiberius Data Mining - 'attractively simple'

• Clementine from SPSS, leading visual rapid modeling environment for data mining. Now includes Clementine Server.
• KINOsuite PR, extracts rules from trained neural networks.
• Knowledge Studio, featuring multiple data mining models in a visual, easy-to-use interface.
• MarketMiner automatically selects the best mining technique using: Statistical Networks, Logistic and linear regression, K nearest neighbors, and Decision trees (C4.5).
• MLF: machine learning framework for Mathematica, the multi-method system for creating understandable computational models from data.
• Oracle 9i Data Mining, embeds data-mining functionality into the Oracle9i database, for making classifications, predictions, and associations.
• Polyanalyst, features multiple classification algorithms: Decision Trees, Fuzzy Logic, and Memory Based reasoning.
• Predictive Dynamix Data Mining Suite integrates statistical, graphical, and ROC analysis with neural network, clustering, and fuzzy models.
• PredictionWorks, includes decision tree (gini, entropy, C4.5), logistic regression, k nearest-neighbor, naive bayes and linear regression. Free test over the web!
• Previa Classpad, provides an interactive environment for classification using neural networks, decision trees, and bayesian networks.
• prudsys DISCOVERER: non-linear decision trees (NDTs) and sparse grid methods for classification
• Purple Insight MineSet, offering several classification methods.
• STATISTICA Data Miner
• Tiberius, includes Neural networks, Logistic regression, 3D Visualization, and much more (free to university staff and students).

• MLC++, a library of C++ classes for supervised machine learning, including multiple classification algorithms.
• SIPINA-W, produces decision graphs and trees. Includes several classification methods. (Win). Shareware