Overview
- Contains extended, revised versions of the best papers selected from DaWaK 2012
- Topics range from data cube computation using MapReduce to multiple aggregations over multidimensional databases
- Pattern mining and knowledge discovery are covered in depth
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9260)
Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
- OLAP-based prediction
- big data
- cloud data management
- complex energy data
- content analysis
- continuous stream analytics
- data analytics
- data cube computation
- data streams
- data warehousing
- information retrieval
- knowledge discovery
- link analysis
- machine learning
- modular neural networks
- multidimensional databases
- pattern mining
- query optimization
- query processing
- smart grids
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 21st 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 eight papers selected as the best papers from the 14th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2012), held in Vienna, Austria, during September 3-6, 2012. These papers cover several advanced Big Data topics, ranging from data cube computation using MapReduce to multiple aggregations over multidimensional databases, from data warehousing systems over complex energy data to OLAP-based prediction models, from extended query engines for continuous stream analytics to popular pattern mining, and from rare pattern mining to enhanced knowledge discovery from large cross-document corpora.
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXI
Book Subtitle: Selected Papers from DaWaK 2012
Editors: Abdelkader Hameurlain, Josef Küng, Roland Wagner, Alfredo Cuzzocrea, Umeshwar Dayal
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-47804-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Softcover ISBN: 978-3-662-47803-5Published: 24 July 2015
eBook ISBN: 978-3-662-47804-2Published: 16 July 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 185
Number of Illustrations: 84 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Artificial Intelligence, Information Storage and Retrieval, Algorithm Analysis and Problem Complexity