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Автор: Alex A.Freitas, Simon H.Lavington
Год: [не указано]
Издание:
[не указанo]
Страниц: [не указано]
ISBN: 0792380487
Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of 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 a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on...
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Memoirs of the life of Robert Cary, Baron of Leppington, and Earl of Monmouth: Written by himself, and now published from an original manuscript in . Corke and Orrery. With some explanatory notes