£107.98

Springer Foundations and Novel Approaches in Data Mining Vol 9

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Description

Bridge the gap between theoretical research and practical application with Foundations and Novel Approaches in Data Mining, Volume 9. This volume from the Studies in Computational Intelligence series addresses the common problem of being data rich but information poor. It provides a necessary resource for both engineers and researchers who often work in isolation from one another. While application-oriented engineers frequently focus on immediate, ad hoc problem solving, researchers may sometimes overlook the practical challenges faced in real-world scenarios. This book aims to remedy these issues by providing a strong theoretical foundation for data mining while offering insights into the practicalities of the field. By connecting these two perspectives, the text helps ensure that research remains significant to practitioners and that practical solutions are built on sound scientific principles. This is an essential addition for anyone studying or working within the realms of computer science, AI, and machine learning.

Key Features

Provides a solid theoretical foundation for data mining to help ground practical applications in scientific principles.

Addresses the gap between academic research and real-world engineering problems to improve problem-solving methods.

Helps move beyond ad hoc problem solving by offering structured approaches to data-rich environments.

Part of the Studies in Computational Intelligence series, ensuring high-quality academic content from Springer.

Designed to help researchers understand the practical issues that matter most to industry practitioners.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
20 November 2010
Listed Since
20 September 2010

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No barcode data available

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