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



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Titolo: Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 1 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (727 pages)
Disciplina: 005.74
Soggetto topico: Telecommunication
Big data
Artificial intelligence - Data processing
Artificial intelligence
Communications Engineering, Networks
Big Data
Data Science
Artificial Intelligence
Persona (resp. second.): SharmaNeha, Dr.
ChakrabartiAmlan
BalasValentina Emilia
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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. .
Sommario/riassunto: 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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.
Titolo autorizzato: Data Management, Analytics and Innovation  Visualizza cluster
ISBN: 981-329-949-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910366604103321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Intelligent Systems and Computing, . 2194-5365 ; ; 1042