£127.02

Springer Complex Pattern Mining: New Challenges and Methods 880

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Description

Navigate the evolving landscape of data science with Complex Pattern Mining: New Challenges, Methods and Applications. As real-world applications generate massive volumes of complex data, traditional methods often struggle to keep up. This volume, part of the Studies in Computational Intelligence series (880), addresses the specific hurdles found in modern knowledge discovery and data mining. This book provides a deep look into the latest research across 14 comprehensive chapters. It covers essential fields such as business process monitoring, cybersecurity, medicine, language processing, and remote sensing. By exploring newly developed techniques and algorithms, readers can learn how to preserve the richness of data while identifying patterns with higher efficiency and effectiveness. Whether you are researching new ways to handle large-scale datasets or looking for advanced algorithmic approaches, this collection from Springer offers insights from leading research centers. It is a valuable resource for understanding how to manage the complexity of modern data environments in various professional and academic sectors.

Key Features

Covers 14 chapters of recent research regarding knowledge discovery and data mining challenges.

Explores applications in cybersecurity, medicine, language processing, and remote sensing.

Provides new techniques and algorithms designed to preserve the richness of complex data.

Addresses the difficulties of managing huge volumes of data in real-world applications.

Includes research from various specialized research centers and authors in the field.

Part of the Studies in Computational Intelligence series, volume 880.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 January 2020
Listed Since
01 November 2019

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No barcode data available

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