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Data Mining for the Masses

Posted by Marcus Zillman

Data Mining for the Masses

In Data Mining for the Masses, professor Matt North—a former risk analyst and database developer for—uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions. Topics included: Introduction to Data Mining and CRISP-DM 3 • Organizational Understanding and Data Understanding • Data Preparation • Correlation • Association Rules • k-Means Clustering • Discriminant Analysis • Linear Regression • Logistic Regression • Decision Trees • Neural Networks • Text Mining • Evaluation and Deployment • Data Mining Ethics. This will be added to Data Mining Resources Subject Tracer™.

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