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.
Contributor(s): Mondal, Anirban [editor.] | Gupta, Himanshu [editor.] | Srivastava, Jaideep [editor.] | Reddy, P. Krishna [editor.] | Somayajulu, D.V.L.N [editor.] | SpringerLink (Online service).
Material type: BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 11297Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XV, 424 p. 185 illus., 139 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030047801.Subject(s): Data mining | Artificial intelligence | Database management | Application software | Electronic digital computers -- Evaluation | Machine theory | Data Mining and Knowledge Discovery | Artificial Intelligence | Database Management | Computer and Information Systems Applications | System Performance and Evaluation | Formal Languages and Automata TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access onlineBig 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.
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. .
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