radiograph 发表于 2025-3-25 03:26:32

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

装饰 发表于 2025-3-25 08:04:41

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

五行打油诗 发表于 2025-3-25 15:13:04

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 发表于 2025-3-25 17:43:13

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

正式通知 发表于 2025-3-25 23:21:47

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 发表于 2025-3-26 04:12:00

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愤慨点吧 发表于 2025-3-26 05:25:41

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hieroglyphic 发表于 2025-3-26 09:12:59

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GIDDY 发表于 2025-3-26 13:24:37

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.

小卷发 发表于 2025-3-26 19:53:47

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