Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9829)
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 2016.
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Table of contents (25 papers)
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Front Matter
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Applications of Big Data Mining I
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Front Matter
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Mining Big Data II
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Front Matter
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Applications of Big Data Mining II
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Front Matter
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Big Data Indexing and Searching
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Front Matter
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Other volumes
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Big Data Analytics and Knowledge Discovery
Keywords
- business intelligence
- data warehousing
- decision support systems
- indexing
- temporal databases
- algorithms
- big data technology
- complex networks
- data mining
- data quality
- data security
- data stream mining
- encryption
- ontology
- opinion mining
- query optimization
- semantic modeling
- social networks
- time series analysis
- topic modeling
About this book
This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016.
The 25 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data Learning and Security, Graph Databases and Data Warehousing, Data Intelligence and Technology.
Editors and Affiliations
Bibliographic Information
Book Title: Big Data Analytics and Knowledge Discovery
Book Subtitle: 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings
Editors: Sanjay Madria, Takahiro Hara
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-43946-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-43945-7Published: 06 August 2016
eBook ISBN: 978-3-319-43946-4Published: 05 August 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 391
Number of Illustrations: 106 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Computer Appl. in Administrative Data Processing, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Artificial Intelligence