This book shows database analysts, data miners, and developers how to use all of the new features of microsoft sql server 2008 for data mining. The book begins with a quick overview of the sql server data mining toolset, showing how these tools can be integrated with office 2007 to provide a complete, user-friendly platform for mining and analyzing data. The authors next show how to use each of the major data mining algorithms supported by this microsoft tool, including naive bayes, decision trees, time series, clustering, association rules, and neural networks and also cover mining olap databases, as well as data mining with sql server integration services 2008. · introduction to data mining · applied data mining using microsoft excel 2007 · dmx and sql server data mining concepts · using sql server data mining · implementing a data mining process using office 2007 · microsoft naïve bayes · microsoft decision trees algorithm · microsoft time series algorithm · microsoft clustering · microsoft sequence clustering · microsoft association rules · microsoft neural network and logistic regression · mining olap cubes · data mining with sql server integration services · sql server data mining architecture · programming sql server data mining · extending sql server data mining · implementing a web cross-selling application
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