Titlebook: Data Warehousing and Knowledge Discovery; 12th International C Torben Bach Pedersen,Mukesh K. Mohania,A Min Tjoa Conference proceedings 201

radiograph

978-3-642-15104-0Springer-Verlag Heidelberg 2010

裝飾

Data Warehousing and Knowledge Discovery978-3-642-15105-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

五行打油詩

Lecture Notes in Computer Science context is theoretically investigated, and we present both lossless and lossy pruning techniques. An efficient and scalable algorithm is proposed, which exploits the inclusion-exclusion principle for fast entropy computation. This algorithm is empirically evaluated through experiments on synthetic and real-world data.

OVERT

0302-9743 lities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision-making process, the data to be considered become more and more complex in both structure and semantics. New developments

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Computer Analysis of Images and Patterns., contrary to traditional design approaches that instead perform these phases in an .. Also, a naive replication algorithm that takes into account the heterogeneous characteristics of our reference architecture is proposed. Finally, our proposal is experimentally assessed and validated against the widely-known data warehouse benchmark ..

陶器

憤慨點(diǎn)吧

hieroglyphic

GIDDY

Speeding Up Queries in Column Storesse of data compression techniques further reduces both memory consumption and processing time. In this paper we study query operators like scan and aggregation on compressed data structures implemented in TREX.

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