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Data Management, Analytics and Innovation = Proceedings of ICDMAI 2020, Volume 2 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Management, Analytics and Innovation/ edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic.
Reminder of title:	Proceedings of ICDMAI 2020, Volume 2 /
other author:	Sharma, Neha.
Description:	XII, 462 p. 225 illus., 171 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-15-5619-7
ISBN:	9789811556197

Data Management, Analytics and Innovation = Proceedings of ICDMAI 2020, Volume 2 /
Data Management, Analytics and InnovationProceedings of ICDMAI 2020, Volume 2 /[electronic resource] :edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic. - 1st ed. 2021. - XII, 462 p. 225 illus., 171 illus. in color.online resource. - Advances in Intelligent Systems and Computing,11752194-5365 ;. - Advances in Intelligent Systems and Computing,335.

Automatic Standardization of Data based on Machine Learning and Natural Language Processing -- Scoring Algorithm Identifying Anomalous Behavior in Enterprise Network.-APPLICATION OF BAYESIAN AUTOMATED HYPERPARAMETER TUNING ON CLASSIFIERS PREDICTING CUSTOMER RETENTION IN BANKING INDUSTRY -- Quantum Machine Learning: A Review and Current Status -- Survey of Transfer Learning and a Case Study of Emotion Recognition using Inductive Approach -- An Efficient Algorithm for Complete Linkage Clustering with a Merging Threshold.

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. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. .

ISBN: 9789811556197

Standard No.: 10.1007/978-981-15-5619-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Data Management, Analytics and Innovation = Proceedings of ICDMAI 2020, Volume 2 /
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