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Advances in Data Science and Information Engineering : Proceedings from ICDATA 2020 and IKE 2020 (Transactions on Computational Science and Computational Intelligence)

By: Cheng-Ying Yang (Edited by) , Gary M. Weiss (Edited by) , Hamid R. Arabnia (Edited by) , Leonidas Deligiannidis (Edited by) , Mahmoud Abou-Nasr (Edited by) , Robert Stahlbock (Edited by)

Extended Catalogue

Ksh 34,200.00

Format: Paperback or Softback

ISBN-10: 3030717062

ISBN-13: 9783030717063

Collection / Series: Transactions on Computational Science and Computational Intelligence

Collection Type: Publisher collection

Edition statement: 2021 ed.

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 30th, 2022

Publication Status: Active

Product extent: 986 Pages

Product Classification / Subject(s): Data mining
Expert systems / knowledge-based systems

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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 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.



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