作者: Mark A. Hall , Ian H. Witten , Eibe Frank , Christopher J. Pal
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摘要: Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools techniques real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work teaches readers everything they need to know get going, from preparing inputs, interpreting outputs, evaluating results, algorithmic methods at heart successful approaches. Extensive updates reflect technical changes modernizations that have taken place field since last edition, including substantial new chapters probabilistic deep learning. Accompanying book is version popular WEKA software University Waikato. Authors Witten, Frank, Hall, Pal include today's coupled leading edge contemporary research. Please visit companion website http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. very comprehensive teaching resource, many PPT covering each chapter bookOnline Appendix Weka workbench; again aid open source goes book.