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Springer Foundations of Computational Intelligence Vol. 6: Data Mining

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Description

Foundations of Computational Intelligence: Volume 6 explores the practical application of intelligent systems in data mining. Published by Springer as part of the Studies in Computational Intelligence series (volume 206), this academic text examines computational tools and solutions that leverage intelligent system techniques to solve real-world data mining challenges. The book provides essential insights into how machine learning and artificial intelligence methodologies can be effectively deployed across data mining applications, making it an invaluable resource for researchers, practitioners, and students seeking to understand the intersection of computational intelligence and data extraction. Whether you are working in data science, machine learning research, or applied artificial intelligence, this volume offers foundational knowledge and practical guidance for implementing intelligent computational approaches in data mining projects.

Key Features

Part of the Springer Studies in Computational Intelligence series (volume 206) focused specifically on data mining applications.

Covers practical computational tools and intelligent system solutions designed for real-world data mining challenges.

Explores techniques for applying machine learning and artificial intelligence methods to data extraction and analysis.

Provides foundational knowledge for researchers and practitioners working with intelligent systems in data mining projects.

Published by Springer, a leading academic publisher in computer science and machine learning topics.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 October 2010
Listed Since
28 December 2010

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