Overview
- Contains extended and revised version of the best papers selected from DaWaK 2014
- Papers focus on aspects of data warehousing and knowledge discovery
- Topics range from data cube computation to pattern-mining algorithms
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9670)
Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)
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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 volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.
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Keywords
- data warehouse life cycle
- data analysis
- personalization
- data integration
- pattern mining
- frequent itemset border
- vertical partitioning
- high dimensionality data
- big data
- approximation
- banded pattern mining
- cancer epidemiology
- dualization
- hypergraph transversals
- partial materialization
- real-time OLAP
- record linkage
- smart data cubes
- user interests
- zero-one data
Table of contents (4 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVI
Book Subtitle: Special Issue on Data Warehousing and Knowledge Discovery
Editors: Abdelkader Hameurlain, Josef Küng, Roland Wagner, Ladjel Bellatreche, Mukesh Mohania
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-49784-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2016
Softcover ISBN: 978-3-662-49783-8Published: 29 March 2016
eBook ISBN: 978-3-662-49784-5Published: 17 March 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 109
Number of Illustrations: 43 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Artificial Intelligence, Information Storage and Retrieval, Algorithm Analysis and Problem Complexity