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» A general dimension for query learning
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DOLAP
2004
ACM
14 years 2 months ago
Handling big dimensions in distributed data warehouses using the DWS technique
The DWS (Data Warehouse Striping) technique allows the distribution of large data warehouses through a cluster of computers. The data partitioning approach partition the facts tab...
Marco Costa, Henrique Madeira
DAWAK
2005
Springer
14 years 2 months ago
Event-Feeded Dimension Solution
Abstract. From the point of view of a data warehouse system its part of collecting and receiving information from other systems is crucial for all subsequent business intelligence ...
Tho Manh Nguyen, Jaromir Nemec, Martin Windisch
HPDC
2010
IEEE
13 years 9 months ago
Browsing large scale cheminformatics data with dimension reduction
Visualization of large-scale high dimensional data tool is highly valuable for scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for c...
Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Geoffrey ...
SIGIR
2010
ACM
13 years 9 months ago
Learning to rank query reformulations
Query reformulation techniques based on query logs have recently proven to be effective for web queries. However, when initial queries have reasonably good quality, these techniqu...
Van Dang, Michael Bendersky, W. Bruce Croft
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
14 years 9 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley