Advances in Data Science and Information Engineering : Proceedings from ICDATA 2020 and IKE 2020 / / edited by Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Cheng-Ying Yang, Hamid R. Arabnia, Leonidas Deligiannidis

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (965 pages)
• Disciplina: 006.3
• Soggetto topico: Data mining; Computational intelligence; Expert systems (Computer science); Data Mining and Knowledge Discovery; Computational Intelligence; Knowledge Based Systems
• Persona (resp. second.): StahlbockRobert
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in data science and information engineering
• ISBN: 3-030-71704-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910508474303321
• Lo trovi qui: Univ. Federico II
• Serie: Transactions on Computational Science and Computational Intelligence, . 2569-7080