Handbook of Statistical Analysis and Data Mining Applications (H... Cover Art

Handbook of Statistical Analysis and Data Mining Applications (Hardcover)

By: Gary Miner (Author), John Elder (Author) and Robert Nisbet (Author)

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The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book for scientists, engineers and researchers that brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis required to interpret the data once mined.
-One complete resource containing everything needed to successfuly conduct data mining analysis
-historical perspective and background providing insight as to why/how data mining grew out of statistics, the scientific method and modern machine learning/artificial intelligence
-Brief discreptions of the numerous new algorithms that make up the AI/Machine Learning part of the data mining arsenal, so the user new to data mining can rapidly absorb the ideas behind each method
-Extensive case studies, most in a tutorial format, allowing the reader to 'click through' the example, using a software program, thus learning to conduct data mining analyses in the most rapid manner of learning possible
Philosophical perspective and insight into what to expect in the future
Numerous examples, tutorials, powerpoints and datasets available via the companion website
Glossary of data mining terms provided in the appendix
Four page color insert

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