![]() The site above also has Datasets and Instructor Materials. Evaluating Classification and Predictive Performanceĭata Mining for Business Intelligence, 2nd Edition.Data Exploration and Dimension Reduction.Which offers a large variety of data mining tools. XLMiner (now distributed by Frontline Solvers), Using real business cases, to illustrate the application and interpretation of these methods.Īn important feature of this book is the use of Excel, and all required data mining algorithms (plus illustrative datasets) are provided in an Excel.To provide a business decision-making context for these methods.To provide both a theoretical and practical understanding of the key methods of classification, prediction, reduction and exploration that are at the heart of data mining.It has extensive coverage of statistical and machine-learning techniques for classification, prediction, affinity analysis, data exploration, and reduction. Data mining is a discovery-driven data analysis technology used for identifying patterns and relationships in data sets. This book is intended for the business student (and practitioner) of data mining techniques, and its goal is threefold: XLMiner XLMiner is a comprehensive data mining add- in for Excel. Was based on a data mining course at MIT's Sloan School of Management. ![]() This book is intended for the business student (and practitioner) of data mining techniques, and all data mining algorithms are provided in an Excel add-in XLMiner.Ģ70-page book draft (PDF) by Galit Shmueli, Nitin R.
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