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Springer Emerging Technologies in Data Mining and Info Security

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Description

Explore the latest advancements in computational science with Emerging Technologies in Data Mining and Information Security. This volume, part of the Lecture Notes in Networks and Systems series, presents the proceedings from IEMIS 2020. It serves as a comprehensive resource for researchers and professionals interested in the intersection of data mining and cybersecurity. The text covers a wide range of specialized topics, including ensemble learning methods for binary classification and high-dimensional data. Readers can find detailed research on knowledge graph construction, resilient network routing in MANET environments, and innovative ANN approaches to block ciphering. Additionally, the volume includes practical applications such as musical instrument classification and comparative analyses of socialized networks. This collection provides a technical foundation for understanding how new algorithms and methodologies are shaping the future of information security and data processing.

Key Features

Covers advanced ensemble learning techniques for effective binary classification and high-dimensional data processing.

Provides research on knowledge graph construction and their preliminary study applications.

Includes technical studies on resilient network routing using preventive selection algorithms in MANET.

Explores cryptographic advancements through an ANN approach to twisted Fiestel block ciphering.

Discusses machine learning applications in diverse fields like musical instrument classification.

Offers analytical surveys and comparative studies regarding socialized network data categories.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 May 2021
Listed Since
20 September 2020

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