XLMiner released a new version this weekend. Here is a description of the new functionality: New Text Mining and Predictive Analytics Power Two highlights of the V2015 release are a powerful new text mining facility, and ensemble methods for prediction and classification -- available in XLMiner Platform and Analytic Solver Platform (only). Since commercial grade text mining software, and other software supporting ensemble methods costs anywhere from $2500 to $5000 or more, this is a windfall for XLMiner Platform and Analytic Solver Platform owners. (If you own a Pro product, be sure to read about the limited time window to upgrade to a Platform product at 2014 prices below.) Text mining is deeply integrated with data mining -- unlike some other products: This means you can mine text in comment fields in web forms, support or maintenance tickets, and the like -- and use the results, along with structured data, in any of XLMiners prediction and classification algorithms -- from regression methods to neural networks. Ensemble methods enhance the power of classification trees, regression trees, and neural networks for classification and prediction -- automatically combining the votes of scores of trees or networks using boosting, bagging or random forests methods. Feature selection methods, new in both XLMiner Pro and Platform, are a powerful aid in whats often the most challenging task of data mining: Deciding which data to feed into the classification and prediction algorithms. In multiple linear regression and logistic regression, new variable screening automatically identifies variables causing multicollinearity, rank deficiencies and other problems. Other enhancements in both XLMiner Pro and Platform include partition-on-the-fly for all classification/ and prediction functions, ROC/RROC curves in classification and prediction reports, and confidence intervals and prediction intervals in reports. solver/xlminer-data-mining
Posted on: Wed, 24 Dec 2014 12:01:33 +0000