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Transactions on Large-Scale Data- and Knowledge-Centered Systems XVII

Selected Papers from DaWaK 2013
Buch | Softcover
XIII, 129 Seiten
2015
Springer Berlin (Verlag)
9783662463345 (ISBN)
CHF 74,85 inkl. MwSt
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 17th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of five papers, selected from the 24 full and 8 short papers presented at the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013, held in Prague, The Czech Republic, in August 2013. Of the five papers, two cover data warehousing aspects related to query processing optimization in advanced platforms, specifically Map Reduce and parallel databases, and three cover knowledge discovery, specifically the causal network inference problem, dimensionality reduction, and the quality-of-pattern-mining task.

Roland Wagner, Kunsthistoriker und Germanist, ist Stipendiat der Fazit-Stiftung und Spezialist für den Einfluss der Philosophie Friedrich Nietzsches auf die Kunst.

Data Warehouse Processing Scale-Up for Massive Concurrent Queries with SPIN.- An Uncoupled Data Process and Transfer Model for Map Reduce.- Enhanced Fast Causal Network Inference over Event Streams.- Learning Through Non-linearly Supervised Dimensionality Reduction.- Metrics for Association Rule Clustering Assessment.

Erscheint lt. Verlag 27.2.2015
Reihe/Serie Lecture Notes in Computer Science
Transactions on Large-Scale Data- and Knowledge-Centered Systems
Zusatzinfo XIII, 129 p. 57 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 235 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Schlagworte Algorithm analysis and problem complexity • cloud data management • Data Warehousing • distributed algorithms • Information Retrieval • Knowledge Discovery • machine learning • MapReduce • pattern mining • query optimization • query processing
ISBN-13 9783662463345 / 9783662463345
Zustand Neuware
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