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Springer Computational Intelligence in Data Mining CIDM 2017

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Description

Explore the latest advancements in data science with the proceedings from the fourth International Conference on Computational Intelligence in Data Mining (ICCIDM). This volume, part of the Advances in Intelligent Systems and Computing series (711), brings together a curated collection of reviewed papers from top researchers in the field. This book provides a deep look into modern solutions and scientific results for complex problems. It covers essential topics including big data analytics, soft computing, and computational intelligence. By studying these compiled research findings, readers gain a preview of current application strengths and research trends that are shaping the industry. Whether you are looking for new methods in data mining or investigating big data trends, this Springer publication serves as a valuable resource for understanding the current landscape of intelligent systems and computing.

Key Features

Comprehensive collection of selected conference papers from the fourth ICCIDM event.

Covers vital research areas including big data analytics and soft computing.

Provides scientific results and methods for solving modern data mining problems.

Offers a look into the research findings and application strengths of current trends.

Part of the professional Advances in Intelligent Systems and Computing series.

Product Specifications

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

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