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Advances in Data Science and Information Engineering: Proceedings from ICDATA 2020 and IKE 2020 [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3030717062
  • ISBN-10:  3030717062
  • ISBN-13:  9783030717063
  • ISBN-13:  9783030717063
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2022
  • Pub Date:  01-Apr-2022
  • SKU:  3030717062-11-SPRI
  • SKU:  3030717062-11-SPRI
  • Pages:  986
  • Pages:  986
  • Item ID: 105219290
  • List Price: $199.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 04 to Oct 06
  • Notes: Brand new books. Buy now.

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.


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 SelĂ/

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