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» Rank-aware Query Optimization
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VLDB
1999
ACM
148views Database» more  VLDB 1999»
15 years 10 months ago
Loading a Cache with Query Results
Data intensive applications today usually run in either a clientserver or a middleware environment. In either case, they must efficiently handle both database queries, which proc...
Laura M. Haas, Donald Kossmann, Ioana Ursu
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
15 years 7 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
292
Voted
ICDE
2008
IEEE
150views Database» more  ICDE 2008»
16 years 7 months ago
Diagnosing Estimation Errors in Page Counts Using Execution Feedback
Errors in estimating page counts can lead to poor choice of access methods and in turn to poor quality plans. Although there is past work in using execution feedback for accurate c...
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar...
ICML
2009
IEEE
16 years 7 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
WWW
2008
ACM
16 years 7 months ago
Determining user's interest in real time
Most of the search engine optimization techniques attempt to predict users interest by learning from the past information collected from different sources. But, a user's curr...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...