Data, Engineering and Applications : Select Proceedings of IDEA 2021 /

The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and thei...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Sharma, Sanjeev (Editor), Peng, Sheng-Lung (Editor), Agrawal, Jitendra (Editor), Shukla, Rajesh K. (Editor), Le, Dac-Nhuong (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Lecture Notes in Electrical Engineering, 907
Subjects:	Engineering-Data processing. Information technology-Management. Machine learning. Big data. Data Engineering. Computer Application in Administrative Data Processing. Machine Learning. Big Data. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.
Physical Description:	1 online resource (IX, 705 pages 314 illustrations, 235 illustrations in color)
ISBN:	9789811946875
ISSN:	1876-1119 ;
DOI:	10.1007/978-981-19-4687-5