Editors:
- Covers a wide range of hot topics in the field of data- and knowledge-management systems
- Topics covered include algorithms for large-scale private analysis, and modeling of entities from social and digital worlds and their relations
- Features recommendation approaches using diversity-based clustering scores, hypothesis discovery, and data aggregation techniques in sensor network environments
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9430)
Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.
This, the 22nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include algorithms for large-scale private analysis, modelling of entities from social and digital worlds and their relations, querying virtual security views of XML data, recommendation approaches using diversity-based clustering scores, hypothesis discovery, and data aggregation techniques in sensor netwo
rk environments.Keywords
- confidentiality and integrity
- hypothesis ranking
- query rewriting
- semi-supervised learning
- XML databases
- clustering architecture
- data aggregation
- differential privacy
- identical nodes behavior
- inference
- large-scale analysis
- literature-based discovery
- materialization
- periodic sensor networks (PSNs)
- regular XPath
- sample-and-aggregation
- security views
- text mining
- XML Access Control
- XPath
Editors and Affiliations
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IRIT, Paul Sabatier University, Toulouse, France
Abdelkader Hameurlain
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FAW, University of Linz, Linz, Austria
Josef Küng, Roland Wagner
Bibliographic Information
Book Title: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII
Editors: Abdelkader Hameurlain, Josef Küng, Roland Wagner
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-48567-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Softcover ISBN: 978-3-662-48566-8Published: 16 November 2015
eBook ISBN: 978-3-662-48567-5Published: 07 November 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 185
Number of Illustrations: 56 illustrations in colour
Topics: Information Storage and Retrieval, Database Management, Artificial Intelligence, Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery, Mathematical Logic and Formal Languages