| 书目名称 | Data Mining and Knowledge Discovery Handbook | | 编辑 | Oded Maimon,Lior Rokach | | 视频video | | | 概述 | Covers over 25 new topics, as well as most updated information on topics presented in first edition.Includes over 30 new world wide contributors, who are experts in this field.New case studies introdu | | 图书封面 |  | | 描述 | .Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data..Data Mining and Knowledge Discovery Handbook, Second Edition. organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This handbook first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security..Data Mining and Knowledge Discovery Handbook, Second Edition. is designed for research scientists, lib | | 出版日期 | Book 20102nd edition | | 关键词 | Bayesian networks; KAP_D018; KDD; KLT; KLTcatalog; algorithm; currentjm; data mining; data mining applicatio | | 版次 | 2 | | doi | https://doi.org/10.1007/978-0-387-09823-4 | | isbn_ebook | 978-0-387-09823-4 | | copyright | Springer Science+Business Media, LLC 2010 |
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发表于 2025-3-21 18:16:43
