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Data management, analytics and innov...

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Data management, analytics and innovationproceedings of ICDMAI 2019.Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data management, analytics and innovationedited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas.
Reminder of title:	proceedings of ICDMAI 2019.
other author:	Sharma, Neha.
corporate name:
Published:	Singapore :Springer Singapore :2020.
Description:	xiv, 740 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Database management
Online resource:	https://doi.org/10.1007/978-981-32-9949-8
ISBN:	9789813299498$q(electronic bk.)

Data management, analytics and innovationproceedings 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. - Singapore :Springer Singapore :2020. - xiv, 740 p. :ill. (some col.), digital ;24 cm. - Advances in intelligent systems and computing,v.10422194-5357 ;. - Advances in intelligent systems and computing ;176..

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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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$q(electronic bk.)

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

253546
Database management

LC Class. No.: QA76.9.D3 / I58 2019

Dewey Class. No.: 005.74

Data management, analytics and innovationproceedings of ICDMAI 2019.Volume 1 /
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245 1 0 $a Data management, analytics and innovation $h [electronic resource] : $b proceedings of ICDMAI 2019. $n Volume 1 / $c edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas.
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505 0 $a 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.
520 $a 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.
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