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|a 9783030047801
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|a Mondal, Anirban
|e [editor]
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|a Big Data Analytics
|h Elektronische Ressource
|b 6th International Conference, BDA 2018, Warangal, India, December 18–21, 2018, Proceedings
|c edited by Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, D.V.L.N. Somayajulu
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|a 1st ed. 2018
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260 |
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|a Cham
|b Springer International Publishing
|c 2018, 2018
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300 |
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|a XV, 424 p. 185 illus., 139 illus. in color
|b online resource
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|a 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
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653 |
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|a Electronic digital computers / Evaluation
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653 |
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|a System Performance and Evaluation
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653 |
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|a Artificial Intelligence
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653 |
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|a Formal Languages and Automata Theory
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653 |
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|a Database Management
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653 |
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|a Data mining
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653 |
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|a Application software
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653 |
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|a Machine theory
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653 |
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|a Artificial intelligence
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653 |
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|a Data Mining and Knowledge Discovery
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653 |
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|a Computer and Information Systems Applications
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653 |
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|a Database management
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700 |
1 |
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|a Gupta, Himanshu
|e [editor]
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700 |
1 |
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|a Srivastava, Jaideep
|e [editor]
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700 |
1 |
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|a Reddy, P. Krishna
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a Information Systems and Applications, incl. Internet/Web, and HCI
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028 |
5 |
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|a 10.1007/978-3-030-04780-1
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4 |
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|u https://doi.org/10.1007/978-3-030-04780-1?nosfx=y
|x Verlag
|3 Volltext
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|a 006.312
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|a 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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