By Soumen Chakrabarti,Earl Cox,Eibe Frank,Ralf Hartmut Güting,Jiawei Han,Xia Jiang,Micheline Kamber,Sam S. Lightstone,Thomas P. Nadeau,Richard E. Neapolitan,Dorian Pyle,Mamdouh Refaat,Markus Schneider,Toby J. Teorey,Ian H. Witten
The proposed booklet expertly combines the best facts mining fabric from the Morgan Kaufmann portfolio. person chapters are derived from a decide upon workforce of MK books authored by means of the simplest and brightest within the box. those chapters are mixed into one accomplished quantity in a manner that enables it for use as a reference paintings for these drawn to new and constructing elements of information mining.
This e-book represents a short and effective solution to unite helpful content material from best facts mining specialists, thereby making a definitive, one-stop-shopping chance for purchasers to obtain the knowledge they might another way have to around up from separate sources.
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This e-book brings the entire components of information mining jointly in one quantity, saving the reader the time and rate of creating a number of purchases. It consolidates either introductory and complicated subject matters, thereby masking the gamut of knowledge mining and computer studying strategies ? from information integration and pre-processing, to primary algorithms, to optimization concepts and net mining technique.
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Additional resources for Data Mining: Know It All
Data Mining: Know It All by Soumen Chakrabarti,Earl Cox,Eibe Frank,Ralf Hartmut Güting,Jiawei Han,Xia Jiang,Micheline Kamber,Sam S. Lightstone,Thomas P. Nadeau,Richard E. Neapolitan,Dorian Pyle,Mamdouh Refaat,Markus Schneider,Toby J. Teorey,Ian H. Witten