Big Data Analytics and Knowledge Discovery [electronic resource] : 19th International Conference, DaWaK 2017, Lyon, France, August 28-31, 2017, Proceedings / edited by Ladjel Bellatreche, Sharma Chakravarthy.
Contributor(s): Bellatreche, Ladjel [editor.]
| Chakravarthy, Sharma [editor.] | SpringerLink (Online service).
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BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 10440Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIV, 488 p. 137 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319642833.Subject(s): Database management | Data mining | Application software | Computer engineering | Computer networks | Artificial intelligence | Social sciences -- Data processing | Database Management | Data Mining and Knowledge Discovery | Computer and Information Systems Applications | Computer Engineering and Networks | Artificial Intelligence | Computer Application in Social and Behavioral SciencesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online
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Springer Nature eBookSummary: 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. .
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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