• Media type: E-Book
  • Title: Advances in Data Science and Information Engineering : Proceedings from ICDATA 2020 and IKE 2020
  • Contributor: Stahlbock, Robert [Editor]; Weiss, Gary M. [Editor]; Abou-Nasr, Mahmoud [Editor]; Yang, Cheng-Ying [Editor]; Arabnia, Hamid R. [Editor]; Deligiannidis, Leonidas [Editor]
  • Published: Cham: Springer, 2021
  • Published in: Transactions on Computational Science and Computational Intelligence
    Springer eBook Collection
  • Extent: 1 Online-Ressource (XXV, 986 p. 344 illus., 286 illus. in color.)
  • Language: English
  • DOI: 10.1007/978-3-030-71704-9
  • ISBN: 9783030717049
  • Identifier:
  • Keywords: Data mining. ; Computational intelligence. ; Knowledge representation (Information theory).
  • Origination:
  • Footnote:
  • Description: Introduction -- Part I: Data Mining/Machine Learning Tasks -- Data Mining Algorithms -- Data Mining Integration -- Data Mining Process -- Data Mining Applications -- Data Mining Software -- Algorithms for Big Data -- Big Data Fundamentals -- Infrastructures for Big Data -- Big Data Management and Frameworks -- Big Data Search -- Privacy in the Era of Big Data -- Applications of Big Data -- Part II: information Retrieval Systems -- Knowledge Management and Cyber-Learning -- Database Engineering and Systems -- Data and Knowledge Processing -- Databanks: Issues, Methods, and Standards -- Data Warehousing and Datacenters -- Health Information Systems -- Data Security and Privacy Issues -- Information Reliability and Security -- Information and Knowledge Structures -- Knowledge Life Cycle -- Conclusion.

    The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students. Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); Includes papers on topics from data mining to machine learning to informational retrieval systems; Authors include academics, researchers, professionals and students.