| 书目名称 | Mining Very Large Databases with Parallel Processing |
| 编辑 | Alex A. Freitas,Simon H. Lavington |
| 视频video | http://file.papertrans.cn/635/634674/634674.mp4 |
| 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 |
|Archiver|手机版|小黑屋|
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