Advances in data science and information engineering : proceedings from ICDATA 2020 and IKE 2020 / Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Cheng-Ying Yang, Hamid R. Arabnia, Leonidas Deligiannidis, editors.
Stahlbock, Robert, editor.; Weiss, Gary M., editor.; Abou-Nasr, Mahmoud, editor.; Yang, Cheng-Ying, editor.; Arabnia, Hamid, editor.; Deligiannidis, Leonidas, editor.; International Conference on Data Science (16th : 2020 : Las Vegas, Nevada ; Online); Conference on Information & Knowledge Engineering (19th : 2020 : Las Vegas, Nevada ; Online)
2021
QA76.9.D343 A38 2021
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Title
Advances in data science and information engineering : proceedings from ICDATA 2020 and IKE 2020 / Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Cheng-Ying Yang, Hamid R. Arabnia, Leonidas Deligiannidis, editors.
ISBN
9783030717049 (electronic bk.)
3030717046 (electronic bk.)
9783030717032
3030717038
3030717046 (electronic bk.)
9783030717032
3030717038
Published
Cham : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (chiefly color)
Item Number
10.1007/978-3-030-71704-9 doi
Call Number
QA76.9.D343 A38 2021
Dewey Decimal Classification
006.3/12
Summary
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.
Note
International conference proceedings.
Conferences held in a hybrid format.
Includes index.
Conferences held in a hybrid format.
Includes index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 12, 2021).
Added Author
Stahlbock, Robert, editor.
Weiss, Gary M., editor.
Abou-Nasr, Mahmoud, editor.
Yang, Cheng-Ying, editor.
Arabnia, Hamid, editor.
Deligiannidis, Leonidas, editor.
Weiss, Gary M., editor.
Abou-Nasr, Mahmoud, editor.
Yang, Cheng-Ying, editor.
Arabnia, Hamid, editor.
Deligiannidis, Leonidas, editor.
Added Meeting Name
International Conference on Data Science (16th : 2020 : Las Vegas, Nevada ; Online)
Conference on Information & Knowledge Engineering (19th : 2020 : Las Vegas, Nevada ; Online)
Conference on Information & Knowledge Engineering (19th : 2020 : Las Vegas, Nevada ; Online)
Series
Transactions on computational science and computational intelligence. 2569-7080
Available in Other Form
Advances in data science and information engineering.
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Online Access
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Online Resources > Ebooks
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All Resources
Table of Contents
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.
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.