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Springer Computational Intelligence in Data Mining Vol 1

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Description

This volume presents a collection of high-quality, peer-reviewed research papers from the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015). Held in Bhubaneswar, Odisha, India, the proceedings focus on the integration of two core computer science disciplines: computational intelligence and data mining. Readers will find detailed explorations of various methods and techniques used to enhance the overall goals of data mining. By addressing the specific difficulties and challenges of combining these fields, this book serves as a valuable resource for disseminating knowledge within the scientific community. It is an essential text for those looking to understand the seamless integration of intelligent systems and data-driven methodologies.

Key Features

Contains peer-reviewed research papers presented at the ICCIDM 2015 conference held in India.

Focuses on the integration of computational intelligence and data mining disciplines.

Addresses specific challenges and difficulties in combining computer science core fields.

Explores various methods and techniques to improve data mining outcomes.

Part of the Advances in Intelligent Systems and Computing series, volume 410.

Provides a platform for disseminating new knowledge in the field of data mining.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 January 2016
Listed Since
28 October 2015

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