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Mining Very Large Databases with Parallel Processing : Transportation Research, Economics and Policy - Alex A. Freitas

Mining Very Large Databases with Parallel Processing

Transportation Research, Economics and Policy

Hardcover Published: 30th November 1997
ISBN: 9780792380481
Number Of Pages: 208

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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.

Preface
Acknowledgments
Introductionp. 1
Knowledge Discovery and Data Miningp. 5
Knowledge Discovery Tasksp. 7
Knowledge Discovery Paradigmsp. 19
The Knowledge Discovery Processp. 31
Data Miningp. 41
Data Mining Toolsp. 51
Parallel Database Systemsp. 59
Basic Concepts on Parallel Processingp. 61
Data Parallelism, Control Parallelism and Related Issuesp. 71
Parallel Database Serversp. 79
Parallel Data Miningp. 87
Approaches to Speed Up Data Miningp. 89
Parallel Data Mining without DBMS Facilitiesp. 109
Parallel Data Mining with Database Facilitiesp. 143
Summary and Some Open Problemsp. 173
Referencesp. 181
Indexp. 199
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792380481
ISBN-10: 0792380487
Series: Transportation Research, Economics and Policy
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 208
Published: 30th November 1997
Publisher: SPRINGER VERLAG GMBH
Country of Publication: NL
Dimensions (cm): 24.38 x 16.36  x 1.85
Weight (kg): 0.45