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.

Format:

Book

Contributor:

Stahlbock, Robert, editor.

Series:

Transactions on Computational Science and Computational Intelligence, 2569-7080

Language:

English

Subjects (All):

Data mining.

Computational intelligence.

Expert systems (Computer science).

Data Mining and Knowledge Discovery.

Computational Intelligence.

Knowledge Based Systems.

Local Subjects:

Data Mining and Knowledge Discovery.

Computational Intelligence.

Knowledge Based Systems.

Physical Description:

1 online resource (965 pages)

Edition:

1st ed. 2021.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

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.

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.

Notes:

Includes bibliographical references and index.

ISBN:

3-030-71704-6

OCLC:

1281767446