[PDF.98we] Feature Selection for Knowledge Discovery and Data Mining (The Springer International Series in Engineering and Computer Science)

Feature Selection for Knowledge Discovery and Data Mining (The Springer International Series in Engineering and Computer Science)

[PDF.hr63] Feature Selection for Knowledge Discovery and Data Mining (The Springer International Series in Engineering and Computer Science)

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 | #5682547 in Books |  Springer |  1998-07-31 | Original language:English | PDF # 1 |  9.21 x.63 x6.14l,1.02 | File type: PDF | 214 pages

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||3 of 4 people found the following review helpful.| 200 pages of Rubbish|By PMdabbler|This is a book with no substance at all, neither theoritically sound nor of any practical value. The $160 dollar price tag is too high as well.

As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com­ puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys­ tems)...

You easily download any file type for your device.Feature Selection for Knowledge Discovery and Data Mining (The Springer International Series in Engineering and Computer Science)   |  Huan Liu, Hiroshi Motoda.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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