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Springer Computational Intelligence in Data Mining: CIDM 2017 Proceedings

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Description

Computational Intelligence in Data Mining presents the peer-reviewed proceedings from the fourth International Conference on Computational Intelligence in Data Mining (ICCIDM 2017), part of Springer's Advances in Intelligent Systems and Computing series (volume 711). This comprehensive collection brings together the most significant research papers selected from the conference, offering readers access to cutting-edge solutions, scientific findings, and methodologies across data mining, computational intelligence, big data analytics, and soft computing. The volume provides an authoritative overview of current trends, practical applications, and research breakthroughs in these rapidly evolving fields, making it an essential reference for academics, researchers, and practitioners seeking to understand the latest developments in intelligent systems and data analysis techniques.

Key Features

Springer-published proceedings volume 711 from the fourth International Conference on Computational Intelligence in Data Mining (ICCIDM 2017).

Peer-reviewed conference papers covering data mining, computational intelligence, big data analytics, and soft computing research.

Part of the Advances in Intelligent Systems and Computing series, providing academic rigour and systematic coverage of trending applications.

Essential reference for researchers and practitioners working in AI, machine learning, and intelligent data analysis methodologies.

Comprehensive compilation of scientific results and solutions addressing contemporary challenges in computational intelligence and data mining fields.

Product Specifications

Colour
White
Format
paperback
Domain
Amazon UK
Release Date
04 July 2018
Listed Since
14 December 2017

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