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Intelligent Systems in Big Data, Semantic Web and Machine Learning /

This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topic...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gherabi, Noreddine (Editor), Kacprzyk, Janusz (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Advances in Intelligent Systems and Computing, 1344
Subjects:
Engineering-Data processing.
Computational intelligence.
Machine learning.
Data Engineering.
Computational Intelligence.
Machine Learning.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Experimental evaluation of proposed algorithm for identifying abnormal messages in SIP Network
  • Smart tourism recommender system using semantic matching
  • Data-Driven information filtering framework for dynamically hybrid job recommendation
  • Semantic image analysis for automatic image annotation
  • New method for data replication and reconstruction in distributed databases
  • A distributed intrusion detection approach based on machine learning technique for a cloud security
  • Cb2Onto: OWL ontology learning approach from couchbase
  • Data profling over big data area - A Survey of big data profiling: state-of-the-Art, use cases and challenges
  • Generalization of the fuzzy conformable differentiability with application to fuzzy fractional differential equations.