Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10440)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: DaWaK 2017.
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About this book
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.
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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Keywords
- data mining
- databases
- cloud computing
- artificial intelligence
- social networks
- map-reduce
- semantics
- learning systems
- world wide web
- distributed computer systems
- machine learning
- big data
- classification
- cluster analysis
- computational linguistics
- ontology
- distributed environments
- clustering algorithms
- Support Vector Machines (SVM)
- data security
Table of contents (35 papers)
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Front Matter
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New Generation Data Warehouses Design
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Front Matter
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Cloud and NoSQL Databases
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Front Matter
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Non-functional Requirements Satisfaction
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Front Matter
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Machine Learning
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Front Matter
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Other volumes
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Big Data Analytics and Knowledge Discovery
Editors and Affiliations
Bibliographic Information
Book Title: Big Data Analytics and Knowledge Discovery
Book Subtitle: 19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings
Editors: Ladjel Bellatreche, Sharma Chakravarthy
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-64283-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-64282-6Published: 03 August 2017
eBook ISBN: 978-3-319-64283-3Published: 11 August 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 488
Number of Illustrations: 137 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Computer Systems Organization and Communication Networks, Artificial Intelligence, Computer Appl. in Social and Behavioral Sciences