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02807nam a22005655i 4500 |
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978-3-319-64283-3 |
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|a Big Data Analytics and Knowledge Discovery
|h [electronic resource] :
|b 19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings /
|c edited by Ladjel Bellatreche, Sharma Chakravarthy.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XIV, 488 p. 137 illus.
|b online resource.
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10440
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|a This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: new generation data warehouses design; cloud and NoSQL databases; advanced programming paradigms; non-functional requirements satisfaction; machine learning; social media and twitter analysis; sentiment analysis and user influence; knowledge discovery; and data flow management and optimization. .
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|a Computer science.
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|a Computer organization.
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|a Database management.
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|a Data mining.
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|a Artificial intelligence.
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|a Application software.
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|a Computer Science.
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|a Database Management.
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|a Data Mining and Knowledge Discovery.
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| 650 |
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|a Information Systems Applications (incl. Internet).
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| 650 |
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|a Computer Systems Organization and Communication Networks.
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| 650 |
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
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|a Computer Appl. in Social and Behavioral Sciences.
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| 700 |
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|a Bellatreche, Ladjel.
|e editor.
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|a Chakravarthy, Sharma.
|e editor.
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| 710 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319642826
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| 830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10440
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| 856 |
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|u http://dx.doi.org/10.1007/978-3-319-64283-3
|z Full Text via HEAL-Link
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