| 书目名称 | Mining Very Large Databases with Parallel Processing | | 编辑 | Alex A. Freitas,Simon H. Lavington | | 视频video | | | 丛书名称 | Advances in Database Systems | | 图书封面 |  | | 描述 | .Mining Very Large Databases with Parallel Processing.addresses the problem of large-scale data mining. It is aninterdisciplinary text, describing advances in the integration ofthree computer science areas, namely `intelligent‘ (machinelearning-based) data mining techniques, relational databases andparallel processing. The basic idea is to use concepts and techniquesof the latter two areas - particularly parallel processing- to speed up and scale up data mining algorithms. .The book is divided into three parts. The first part presents acomprehensive review of intelligent data mining techniques such asrule induction, instance-based learning, neural networks and geneticalgorithms. Likewise, the second part presents a comprehensive reviewof parallel processing and parallel databases. Each of these partsincludes an overview of commercially-available, state-of-the-arttools. The third part deals with the application of parallelprocessing to data mining. The emphasis is on finding generic,cost-effective solutions for realistic data volumes. Two parallelcomputational environments are discussed, the first excluding the useof commercial-strength DBMS, and the second using parallel DBMSserver | | 出版日期 | Book 2000 | | 关键词 | DBMS; algorithms; artificial intelligence; computer science; data mining; database; database systems; genet | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-5521-6 | | isbn_softcover | 978-1-4613-7523-4 | | isbn_ebook | 978-1-4615-5521-6Series ISSN 1386-2944 | | issn_series | 1386-2944 | | copyright | Springer Science+Business Media New York 2000 |
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发表于 2025-3-21 16:08:51
