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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2020, Volume 1 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic



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Titolo: Data Management, Analytics and Innovation : Proceedings of ICDMAI 2020, Volume 1 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (471 pages) : illustrations
Disciplina: 005.7565
Soggetto topico: Computational intelligence
Telecommunication
Big data
Artificial intelligence—Data processing
Artificial intelligence
Computational Intelligence
Communications Engineering, Networks
Big Data
Data Science
Artificial Intelligence
Persona (resp. second.): SharmaNeha
ChakrabartiAmlan
BalasValentina Emilia
MartinovicJan
Nota di contenuto: Improving Microblog Clustering: Tweet Pooling Schemes -- An IoT based parking framework for smart cities -- Open Source Challenges & Opportunities -- Empirical study on the perception of accounting professionals towards awareness and adoption of IFRS in India -- On Readability Metrics of Goal Statements of Universities and Brand-promoting Lexicons for Industries -- An Efficient Recommendation System on E-Learning Platform by Query Lattice Optimization -- DengueCBC: Dengue EHR Transmission using Secure Consortium Blockchain Enabled Platform -- Online Credit Card Fraud Analytics using Machine Learning Techniques -- Identifying Major Critical Factors Faced by Tourism Industry Using Apriori Algorithm.
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. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia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: 981-15-5616-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483964003321
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Serie: Advances in Intelligent Systems and Computing, . 2194-5365 ; ; 1174