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» Evaluating rank joins with optimal cost
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ICDE
2003
IEEE
155views Database» more  ICDE 2003»
14 years 11 months ago
XR-Tree: Indexing XML Data for Efficient Structural Joins
XML documents are typically queried with a combination of value search and structure search. While querying by values can leverage traditional database technologies, evaluating st...
Haifeng Jiang, Hongjun Lu, Wei Wang 0011, Beng Chi...
GEOINFORMATICA
1998
79views more  GEOINFORMATICA 1998»
13 years 9 months ago
Symbolic Intersect Detection: A Method for Improving Spatial Intersect Joins
Due to the increasing popularity of spatial databases, researchers have focused their efforts on improving the query processing performance of the most expensive spatial database ...
Yun-Wu Huang, Matthew C. Jones, Elke A. Rundenstei...
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 10 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
EDBT
2004
ACM
147views Database» more  EDBT 2004»
14 years 10 months ago
Projection Pushing Revisited
The join operation, which combines tuples from multiple relations, is the most fundamental and, typically, the most expensive operation in database queries. The standard approach t...
Benjamin J. McMahan, Guoqiang Pan, Patrick Porter,...
CIKM
2006
Springer
14 years 1 months ago
Optimisation methods for ranking functions with multiple parameters
Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. We build on recent advances ...
Michael J. Taylor, Hugo Zaragoza, Nick Craswell, S...