Data Management, Analytics and Innovation : Proceedings of ICDMAI 2020, Volume 2 / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Advances in Intelligent Systems and Computing ; 1175Verlag: Singapore : Springer Singapore, 2021Verlag: Singapore : Imprint: Springer, 2021Auflage: 1st ed. 2021Beschreibung: 1 Online-Ressource(XII, 462 p. 225 illus., 171 illus. in color.)ISBN:

9789811556197

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Andere physische Formen: 9789811556180 | 9789811556203 | Erscheint auch als: 9789811556180 Druck-Ausgabe | Erscheint auch als: 9789811556203 Druck-AusgabeDOI: DOI: 10.1007/978-981-15-5619-7Online-Ressourcen:

Zusammenfassung: Automatic Standardization of Data based on Machine Learning and Natural Language Processing -- Scoring Algorithm Identifying Anomalous Behavior in Enterprise Network.-APPLICATION OF BAYESIAN AUTOMATED HYPERPARAMETER TUNING ON CLASSIFIERS PREDICTING CUSTOMER RETENTION IN BANKING INDUSTRY -- Quantum Machine Learning: A Review and Current Status -- Survey of Transfer Learning and a Case Study of Emotion Recognition using Inductive Approach -- An Efficient Algorithm for Complete Linkage Clustering with a Merging Threshold.Zusammenfassung: 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 Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia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. .PPN: PPN: 173464155XPackage identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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