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Author : International Conference on Very Large Data Bases
Release : 1984
Genre : Database management
Kind : eBook
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Book Synopsis Very Large Data Bases by : International Conference on Very Large Data Bases
Download or read book Very Large Data Bases written by International Conference on Very Large Data Bases. This book was released on 1984. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Release : 1984
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis International Conference on Very Large Data Bases by :
Download or read book International Conference on Very Large Data Bases written by . This book was released on 1984. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Petrus Maria Gerardus Apers
Release : 1989-12
Genre : Computers
Kind : eBook
Book Rating : 017/5 ( reviews)
Book Synopsis Proceedings 1989 VLDB Conference by : Petrus Maria Gerardus Apers
Download or read book Proceedings 1989 VLDB Conference written by Petrus Maria Gerardus Apers. This book was released on 1989-12. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 15th International Conference (see title), August 1989, Amsterdam, The Netherlands. Contains forty-five papers from worldwide contributors which explore fundamental issues and current developments parallelism, interfaces, statistics, and programming languages.
Author :
Release : 1980
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Very Large Data Bases [VLDB] by :
Download or read book Very Large Data Bases [VLDB] written by . This book was released on 1980. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alex A. Freitas
Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 213/5 ( reviews)
Book Synopsis Mining Very Large Databases with Parallel Processing by : Alex A. Freitas
Download or read book Mining Very Large Databases with Parallel Processing written by Alex A. Freitas. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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 finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.
