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Data Management, Analytics and Innovation = Proceedings of ICDMAI 2019, Volume 1 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Management, Analytics and Innovation/ edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas.
Reminder of title:	Proceedings of ICDMAI 2019, Volume 1 /
other author:	Sharma, Neha.
Description:	XIV, 740 p. 300 illus., 218 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-981-32-9949-8
ISBN:	9789813299498

Data Management, Analytics and Innovation = Proceedings of ICDMAI 2019, Volume 1 /
Data Management, Analytics and InnovationProceedings of ICDMAI 2019, Volume 1 /[electronic resource] :edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas. - 1st ed. 2020. - XIV, 740 p. 300 illus., 218 illus. in color.online resource. - Advances in Intelligent Systems and Computing,10422194-5357 ;. - Advances in Intelligent Systems and Computing,335.

Empirical Study of Soft Clustering Technique for Determining Click Through Rate in Online Advertising -- ASK Approach: A Pre-Migration Approach for Legacy Application Migration to Cloud -- A Fuzzy Logic Based Cardiovascular Disease Risk Level Prediction System in Correlation to Diabetes and Smoking -- An Integrated Fault Classification Approach for Microgrid System -- Role of Data Analytics in Human Resource Management for Prediction of Attrition Using Job Satisfaction -- A Study of Business Performance Management in Special Reference to Automobile Industry. .

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

ISBN: 9789813299498

Standard No.: 10.1007/978-981-32-9949-8doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Data Management, Analytics and Innovation = Proceedings of ICDMAI 2019, Volume 1 /
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