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Springer Foundations of Data Mining and Knowledge Discovery - Springer

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Description

Foundations of Data Mining and Knowledge Discovery presents the latest research and emerging directions in data mining, a rapidly evolving field that combines computational intelligence, database management, machine learning, soft computing, and statistical methods. This volume from Springer examines the theoretical underpinnings of data mining, moving beyond technique implementation to explore the discipline's core principles and foundations. Part of the Studies in Computational Intelligence series (volume 6), the book investigates fundamental concepts essential for advancing the field, making it an invaluable resource for researchers, practitioners, and students seeking to understand the conceptual framework underlying modern data mining applications and future developments in computational intelligence.

Key Features

Springer publication offering comprehensive coverage of data mining foundations and research directions for computer science professionals.

Integrates computational intelligence, database management, machine learning, soft computing, and statistical approaches in a unified framework.

Part of the Studies in Computational Intelligence series (volume 6) focusing on theoretical and foundational aspects of the discipline.

Examines core principles and conceptual foundations necessary for advancing data mining research and development.

Suitable for researchers, practitioners, and students seeking deep understanding of data mining's theoretical underpinnings.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
16 November 2014
Listed Since
16 November 2014

Barcode

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