With its short learning curve, affordable price, and reliance on the familiar Excel platform, it is an ideal companion to a book on data mining for the business student. It also offers association rules, principal components analysis, k-means clustering and hierarchical clustering, as well as visualization tools, and data handling utilities. It provides for automatic partitioning of data into training, validation and test samples, and for the deployment of the model to new data. It offers a variety of data mining tools: neural nets, classification and regression trees, k-nearest neighbor classification, naive Bayes, logistic regression, multiple linear regression, and discriminant analysis, all for predictive modeling. ASDM has extensive coverage of statistical and data mining techniques for classification, prediction, affinity analysis, and data exploration and reduction. The illustrations, exercises and cases in this book are written in relation to this software. ASDM will help you get quickly started on data mining, and offers a variety of methods for analyzing data. This software was previously called XLMiner Platform.īook owners: see instructions for obtaining ASDM.įor those familiar with Excel, the use of an Excel add-in dramatically shortens the software learning curve. To facilitate hands-on data mining experience, Data Mining for Business Analytics comes bundled with access to Analytic Solver Data Mining (ASDM), a comprehensive data mining add-in for Excel.
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