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Data Management, Analytics and Innovation = Proceedings of ICDMAI 2021, 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, Alfred M. Bruckstein.
Reminder of title:
Proceedings of ICDMAI 2021, Volume 2 /
other author:
Sharma, Neha.
Description:
XII, 536 p. 253 illus., 197 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-16-2937-2
ISBN:
9789811629372
Data Management, Analytics and Innovation = Proceedings of ICDMAI 2021, Volume 2 /
Data Management, Analytics and Innovation
Proceedings of ICDMAI 2021, Volume 2 /[electronic resource] :edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Alfred M. Bruckstein. - 1st ed. 2022. - XII, 536 p. 253 illus., 197 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,712367-4520 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.
Simulation of Lotka-Volterra Equations using Differentiable Programming in Julia -- Feature Selection Strategy for Multi Residents Behavior Analysis in Smart Home Environment -- A Comparative Study on Self-learning Techniques for Securing Digital Devices -- An intelligent, Geo-Replication, Energy Efficient BAN Routing Algorithm under Framework of Machine Learning and Cloud Computing -- New Credibilistic Real Option Model Based on the Pessimism-Optimism Character of a Decision-Maker -- Analysis of Road Accidents in India and Prediction of Accident Severity -- Mining Opinion Features & Sentiment Analysis with Synonymy Aspects -- Understanding Employee Attrition Using Machine Learning Techniques.
This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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: 9789811629372
Standard No.: 10.1007/978-981-16-2937-2doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Data Management, Analytics and Innovation = Proceedings of ICDMAI 2021, Volume 2 /
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Simulation of Lotka-Volterra Equations using Differentiable Programming in Julia -- Feature Selection Strategy for Multi Residents Behavior Analysis in Smart Home Environment -- A Comparative Study on Self-learning Techniques for Securing Digital Devices -- An intelligent, Geo-Replication, Energy Efficient BAN Routing Algorithm under Framework of Machine Learning and Cloud Computing -- New Credibilistic Real Option Model Based on the Pessimism-Optimism Character of a Decision-Maker -- Analysis of Road Accidents in India and Prediction of Accident Severity -- Mining Opinion Features & Sentiment Analysis with Synonymy Aspects -- Understanding Employee Attrition Using Machine Learning Techniques.
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This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. 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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