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Transactions on Large-Scale Data- and Knowledge-Centered Systems II [Mīkstie vāki]

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  • Formāts: Paperback / softback, 141 pages, weight: 247 g, 65 Illustrations, black and white; XI, 141 p. 65 illus., 1 Paperback / softback
  • Sērija : Transactions on Large-Scale Data- and Knowledge-Centered Systems 6380
  • Izdošanas datums: 27-Sep-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 364216174X
  • ISBN-13: 9783642161742
  • Mīkstie vāki
  • Cena: 46,91 €*
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  • Formāts: Paperback / softback, 141 pages, weight: 247 g, 65 Illustrations, black and white; XI, 141 p. 65 illus., 1 Paperback / softback
  • Sērija : Transactions on Large-Scale Data- and Knowledge-Centered Systems 6380
  • Izdošanas datums: 27-Sep-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 364216174X
  • ISBN-13: 9783642161742
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 applicational development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolvement of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the second issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of journal versions of selected papers from the 11th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009). In addition, it contains a special section focusing on the challenging domain of patent retrieval.

This second issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems consists of journal versions of selected papers from the 11th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009).
Data Warehousing and Knowledge Discovery
Discovery of Frequent Patterns in Transactional Data Streams
1(30)
Willie Ng
Manoranjan Dash
Fast Loads and Queries
31(42)
Goetz Graefe
Harumi Kuno
Efficient Online Aggregates in Dense-Region-Based Data Cube Representations
73(30)
Kais Haddadin
Tobias Lauer
Information Retrieval
Improving Access to Large Patent Corpora
103(19)
Richard Bache
Leif Azzopardi
Improving Retrievability and Recall by Automatic Corpus Partitioning
122(19)
Shariq Bashir
Andreas Rauber
Author Index 141