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Information Science Reference Mathematical Methods for Knowledge Discovery and Data Mining

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Description

This comprehensive reference examines the mathematical models and methods that underpin modern data mining applications and solution techniques. Designed for professionals and researchers seeking to understand the quantitative foundations of knowledge discovery, the work bridges theoretical mathematics with practical data mining implementation. The Premier Reference Source collection provides authoritative coverage of essential methodologies used across analytics, business intelligence, and data science disciplines. Whether you are developing algorithms, optimising data extraction processes, or exploring advanced analytical approaches, this resource delivers rigorous mathematical frameworks and proven techniques applicable to real-world knowledge discovery challenges.

Key Features

The Mathematical Methods for Knowledge Discovery and Data Mining reference covers foundational and advanced quantitative models essential for data mining success.

Published by Information Science Reference, this Premier Reference Source establishes authoritative standards for mathematical approaches in knowledge discovery.

Features comprehensive exploration of solution techniques that transform raw data into actionable insights across business and research environments.

Addresses the mathematical foundations enabling professionals to implement, understand, and optimise data mining applications in practice.

Serves as a definitive guide for researchers, analysts, and practitioners developing or refining knowledge discovery methodologies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 October 2007
Listed Since
19 March 2007

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