Advances in Data Science and Information Engineering Proceedings from ICDATA 2020 and IKE 2020
Título:
Advances in Data Science and Information Engineering Proceedings from ICDATA 2020 and IKE 2020
ISBN:
9783030717049
Edição:
1st ed. 2021.
PRODUCTION_INFO:
Cham : Springer International Publishing : Imprint: Springer, 2021.
Descrição Física:
XXV, 986 p. 344 illus., 286 illus. in color. online resource.
Série:
Transactions on Computational Science and Computational Intelligence,
Conteúdo:
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.
Resumo:
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.
Autor Corporativo Adicionado:
LANGUAGE:
Inglês