£109.47

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£109 today · 30-day average £101 · all-time low £100

Springer Emerging Technologies in Data Mining & Information Security

Amazon

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£136.00 £96.40 £105.04 £113.68 £122.32 £130.96 £139.60 25 July 2026 12 August 2026 30 August 2026 17 September 2026 05 October 2026
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Price distribution over 73 days • 4 price levels

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41 days 11 days 1 day · current 20 days 0 10 21 31 41 £100 £108 £109 £136 Days at Price

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Most common price: £100 (41 days, 56.2%)

Price range: £100 - £136

Price levels: 4 different prices over 73 days

Description

This comprehensive proceedings volume from IEMIS 2020 explores cutting-edge advances in data mining and information security through peer-reviewed research chapters. Volume 3 of the Lecture Notes in Networks and Systems series (164) presents diverse topics including layered ensemble learning for binary classification, knowledge graph construction, high-dimensional data processing, network resilience through preventive routing algorithms, cryptographic approaches using artificial neural networks, and machine learning applications in musical instrument classification. The collection bridges theoretical foundations and practical implementations, making it essential reading for researchers, practitioners, and academics working in data science, cybersecurity, artificial intelligence, and network systems. Each chapter contributes to the broader understanding of how emerging technologies are reshaping information security and data analysis methodologies across industries.

Key Features

Contains peer-reviewed chapters on ensemble learning techniques for effective binary classification and pattern recognition in complex datasets.

Explores knowledge graph construction methods and their applications in organizing and querying large-scale information systems.

Addresses real-time processing of high-dimensional data with practical ensemble learning algorithms for performance optimisation.

Presents network security innovations including preventive route selection algorithms for MANET (Mobile Ad-Hoc Network) resilience.

Covers cryptographic advancements with ANN-based approaches to Fiestel block ciphering for enhanced data encryption.

Demonstrates machine learning applications including musical instrument classification and socialized network analysis through data mining.

Product Specifications

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

Barcode

No barcode data available

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