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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2021, Volume 2 / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Alfred M. Bruckstein

Material type: materialTypeLabelE-bookSeries: (Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 71).Publisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XII, 536 páginas) : 253 ilustraciones, 197 ilustraciones a color.ISBN: 9789811629372.Subject: Sistemas de gestión de bases de datos -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9 .D3 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.09012349
Total holds: 0

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.

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