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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019 Volume 1 / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas

Contributor(s): Sharma, Neha, editor literario | Chakrabarti, Amlan, editor literario | Balas, Valentina Emilia, editor literario | SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (Advances in Intelligent Systems and Computing, 2194-5357; 1042).Publisher: Singapore : Springer Singapore Imprint: Springer, 2020Edition: First edition 2020.Description: 1 recurso en línea (XIV, 740 páginas) : 300 ilustraciones, 218 ilustraciones a color..ISBN: 9789813299498.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:
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. .
In: Springer eBooksAbstract: 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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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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 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook28022041
Total holds: 0

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.

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