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Big Data Analytics [[electronic resource] ] : 6th International Conference, BDA 2018, Warangal, India, December 18–21, 2018, Proceedings / / edited by Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, D.V.L.N. Somayajulu



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Titolo: Big Data Analytics [[electronic resource] ] : 6th International Conference, BDA 2018, Warangal, India, December 18–21, 2018, Proceedings / / edited by Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, D.V.L.N. Somayajulu Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XV, 424 p. 185 illus., 139 illus. in color.)
Disciplina: 005.7
Soggetto topico: Data mining
Artificial intelligence
Database management
Application software
Computer system failures
Mathematical logic
Data Mining and Knowledge Discovery
Artificial Intelligence
Database Management
Information Systems Applications (incl. Internet)
System Performance and Evaluation
Mathematical Logic and Formal Languages
Persona (resp. second.): MondalAnirban
GuptaHimanshu
SrivastavaJaideep
ReddyP. Krishna
SomayajuluD.V.L.N
Nota di contenuto: Big Data Analytics: Vision and Perspectives -- Financial Data Analytics and Data Streams -- Web and Social Media Data -- Big Data Systems and Frameworks -- Predictive Analytics in Healthcare and Agricultural Domains -- Machine Learning and Pattern Mining.
Sommario/riassunto: This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining. .
Titolo autorizzato: Big data analytics  Visualizza cluster
ISBN: 3-030-04780-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466306703316
Lo trovi qui: Univ. di Salerno
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Serie: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11297