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Data Management, Analytics and Innovation = Proceedings of ICDMAI 2021, Volume 2 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data Management, Analytics and Innovation/ edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Alfred M. Bruckstein.
其他題名:	Proceedings of ICDMAI 2021, Volume 2 /
其他作者:	Bruckstein, Alfred M.
面頁冊數:	XII, 536 p. 253 illus., 197 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data. -
電子資源:	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 InnovationProceedings 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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:

1017136
Big Data.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Data Management, Analytics and Innovation = Proceedings of ICDMAI 2021, Volume 2 /
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