Hamid R. (Hrsg.) Arabnia
Advances in Data Science and Information Engineering
Proceedings from ICDATA 2020 and IKE 2020
Ebook (PDF Format)
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 a…
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Beschreibung
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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Produktdetails
Weitere Autoren: Abou-Nasr, Mahmoud (Hrsg.) / Stahlbock, Robert (Hrsg.) / Weiss, Gary M. (Hrsg.) / Deligiannidis, Leonidas (Hrsg.) / Yang, Cheng-Ying (Hrsg.)
- ISBN: 978-3-030-71704-9
- EAN: 9783030717049
- Produktnummer: 37857574
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 986 S.
- Plattform: PDF
- Masse: 24'061 KB
Über den Autor
139868662
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