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Mining Very Large Databases with Parallel Processing by Simon H. Lavington, Alex A. Freitas (Paperback, 2012)

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Product Information

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.

Product Identifiers

Publisher
Springer-Verlag New York Inc.
ISBN-13
9781461375234
eBay Product ID (ePID)
189566382

Product Key Features

Subject Area
Information Science
Author
Simon H. Lavington, Alex A. Freitas
Publication Name
Mining Very Large Databases with Parallel Processing
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2012
Type
Textbook
Number of Pages
208 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Volume
9
Item Weight
355g

Additional Product Features

Title_Author
Alex A. Freitas, Simon H. Lavington
Series Title
Advances in Database Systems
Country/Region of Manufacture
United States

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Mining Very Large Databases with Parallel Processing by Simon H. Lavington, Alex A. Freitas (Paperback, 2012)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Permaculture: A Designer's Manual by Bill Mollison (Hardcover, 1988)

Australian Native Bee Book: Keeping Stingless Bee Hives for Pets, Pollination and Sugarbag Honey by Tim Heard (Paperback, 2015)

The Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by Adam Grubb, Annie Raser-Rowland (2012, Paperback)

Empire of the Summer Moon: Quanah Parker and the Rise and Fall of the Comanches, the Most Powerful Indian Tribe in American History by S.C. Gwynne (Paperback, 2011)

Botanical Field Guide by Stefan Mager (Fold-out book or chart, 2021)

Linux Basics For Hackers: Getting Started with Networking, Scripting, and Security in Kali by OccupyTheWeb (Paperback, 2018)

The Hundred Years' War on Palestine: A History of Settler Colonial Conquest and Resistance by Rashid I. Khalidi (Paperback, 2020)

Save on Adult Learning & University

The Australian Native Bee Hive Book: Keeping Stingless Sugarbag OATH Tim Heard

Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by A

Netter Atlas of Human Anatomy: Classic Regional Approach

The Red Book: Liber Novus by Carl Gustav Jung (English) Hardcover Book

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