£165.08

Springer Mining Very Large Databases with Parallel Processing 9

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Description

Master the complexities of large-scale data mining with this specialized text from Springer. Part of the Advances in Database Systems series, this book provides an interdisciplinary look at how machine learning-based data mining, relational databases, and parallel processing work together. As data grows in size and complexity, traditional methods often struggle to keep up. This volume addresses that challenge by teaching you how to use parallel processing techniques to speed up and scale up data mining algorithms. By integrating these three core computer science areas, the text offers a roadmap for managing massive datasets more efficiently. The book is organized into three distinct parts to guide your learning. The first section provides a comprehensive review of intelligent data mining techniques, setting a strong foundation for the advanced concepts that follow. This is an essential resource for anyone studying the intersection of intelligent data mining and high-performance computing.

Key Features

Explores the integration of machine learning-based data mining, relational databases, and parallel processing for large-scale data tasks.

Provides methods to use parallel processing concepts to increase the speed and scalability of data mining algorithms.

Offers an interdisciplinary approach to solving modern problems in large-scale data mining.

Includes a comprehensive review of intelligent data mining techniques in the first part of the text.

Part of the recognized Advances in Database Systems series published by Springer.

Product Specifications

Format
Paperback
Domain
Amazon UK
Publication Date
29 October 2012
Listed Since
14 July 2013

Barcode

No barcode data available

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