Data mining 3rd edition by witten frank hall

Algorithms: The Basic Methods Chapter 5. Data Transformation Chapter 8. Ensemble Learning Chapter 9. Moving On: Applications and Beyond. Introduction to Weka Chapter The Explorer Chapter The Knowledge Flow Interface Chapter The Experimenter Chapter The Command-Line Interface Chapter Embedded Machine Learning Chapter This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.

Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors.

Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise.

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