The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series)

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Nong Ye 編 作者
CRC Press
譯者
2003-04-01 出版日期
720 頁數
USD 154.95 價格
Hardcover
叢書系列
9780805840810 圖書編碼

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The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) 在線電子書 著者簡介


The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) 在線電子書 著者簡介


The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) 在線電子書 圖書描述

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, "The Handbook of Data Mining" presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials. This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bioinformatics, on and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality.This Handbook is ideal for researchers and developers who want to use data mining techniques to derive scientific inferences where extensive data is available in scattered reports and publications. It is also an excellent resource for graduate-level courses on data mining and decision and expert systems methodology.

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