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Advances in data science and informa...

Stahlbock, Robert.

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Advances in data science and information engineering = proceedings from ICDATA 2020 and IKE 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in data science and information engineering/ edited by Robert Stahlbock ... [et al.].
Reminder of title:	proceedings from ICDATA 2020 and IKE 2020 /
remainder title:	ICDATA 2020 and IKE 2020
other author:	Stahlbock, Robert.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xxv, 986 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-71704-9
ISBN:	9783030717049

Advances in data science and information engineering = proceedings from ICDATA 2020 and IKE 2020 /
Advances in data science and information engineeringproceedings from ICDATA 2020 and IKE 2020 /[electronic resource] :ICDATA 2020 and IKE 2020edited by Robert Stahlbock ... [et al.]. - Cham :Springer International Publishing :2021. - xxv, 986 p. :ill. (chiefly col.), digital ;24 cm. - Transactions on computational science and computational intelligence,2569-7080. - Transactions on computational science and computational intelligence..

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.

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.

ISBN: 9783030717049

Standard No.: 10.1007/978-3-030-71704-9doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343 / A38 2021

Dewey Class. No.: 006.312

Advances in data science and information engineering = proceedings from ICDATA 2020 and IKE 2020 /
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245 0 0 $a Advances in data science and information engineering $h [electronic resource] : $b proceedings from ICDATA 2020 and IKE 2020 / $c edited by Robert Stahlbock ... [et al.].
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300 $a xxv, 986 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Transactions on computational science and computational intelligence, $x 2569-7080
505 0 $a 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.
520 $a 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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