Data Mining and Knowledge Discovery Handbook
* 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 introduced based on real world examples * 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 ac complish. 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, 2nd 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, 2nd Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. This handbook is also suitable for professionals in industry, for computing applications, information systems management, and strategic research management. Content Level » Research Keywords » Bayesian networks - KDD - algorithm - data mining - data mining applications - decision trees - ensemble method - knowledge discovery - large datasets - preprocessing method - soft computing method - statistical method - text mining - web mining
用户评论
oshifang57585 2018-12-09 00:08:49
是我想要的资源,pdf版,可以复制的版本,很不错~
OnhouBa 2018-12-09 00:08:49
非常经典的书,感谢分享
A_LiangZ 2018-12-09 00:08:49
手册内容详实,属于不错的英文资料把。国内的很多类似的东西都做的比较粗糙,不如国外的好。