Big Data Analytics and Knowledge Discovery 19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings

Big Data Analytics and Knowledge Discovery 19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings / edited by Ladjel Bellatreche, Sharma Chakravarthy.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bellatreche, Ladjel (Editor), Chakravarthy, Sharma (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Information Systems and Applications, incl. Internet/Web, and HCI ; 10440
Springer eBook Collection.
Subjects:
Database management.
Data mining.
Application software.
Computer organization.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary: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. .
Physical Description:XIV, 488 p. 137 illus. online resource.
ISBN:9783319642833
DOI:10.1007/978-3-319-64283-3

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