| 书目名称 | Intelligent Technologies for Information Analysis | | 编辑 | Ning Zhong,Jiming Liu | | 视频video | | | 概述 | Includes supplementary material: | | 图书封面 |  | | 描述 | Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today‘s as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter include | | 出版日期 | Book 2004 | | 关键词 | STATISTICA; Web Intelligence; agents; architectures; artificial intelligence; calculus; cognition; data min | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-07952-2 | | isbn_softcover | 978-3-642-07378-6 | | isbn_ebook | 978-3-662-07952-2 | | copyright | Springer-Verlag Berlin Heidelberg 2004 |
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发表于 2025-3-21 20:02:28
