[PDF.95vs] Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics)

Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics)

[PDF.tu76] Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics)

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 | #2680346 in Books |  CRC Press |  2013-07-26 | Original language:English | PDF # 1 |  9.25 x6.50 x1.00l,1.40 | File type: PDF | 349 pages

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||0 of 0 people found the following review helpful.| Two Stars|By AustinH|Too many typos and mistakes since it is the first edition|0 of 0 people found the following review helpful.| comprehensive, easy to understand|By SS|The book covers many data mining algorithms, including linear and nonlinear regression, naïve Bayes classifier, decision and regression trees, artificial| ||"… provides full spectrum coverage of the most important topics in data mining. By reading it, one can obtain a comprehensive view on data mining, including the basic concepts, the important problems in the area, and how to handle these pro

New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, includin...

You easily download any file type for your gadget.Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics)   |  Nong Ye.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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