Nature-Inspired Computation in Data Mining and Machine Learning

Nature-Inspired Computation in Data Mining and Machine Learning

Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Yang, Xin-She (Editor), He, Xing-Shi (Editor)
Shrnutí:XI, 273 p. 87 illus., 66 illus. in color.
text
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2020.
Vydání:1st ed. 2020.
Edice:Studies in Computational Intelligence, 855
Témata:
Computational intelligence.
Artificial intelligence.
Data mining.
Computational Intelligence.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
On-line přístup:https://doi.org/10.1007/978-3-030-28553-1
Médium: Elektronický zdroj Kniha
Obsah:
  • Adaptive Improved Flower Pollination Algorithm for Global Optimization
  • Algorithms for Optimization and Machine Learning over Cloud
  • Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks
  • Comparative analysis of different classifiers on crisis-related tweets: An elaborate study
  • An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm
  • Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services.

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