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WWW
2004
ACM
14 years 9 months ago
A smart hill-climbing algorithm for application server configuration
The overwhelming success of the Web as a mechanism for facilitating information retrieval and for conducting business transactions has led to an increase in the deployment of comp...
Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. ...
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
14 years 9 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
14 years 8 months ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...
ICCAD
2001
IEEE
144views Hardware» more  ICCAD 2001»
14 years 5 months ago
Faster SAT and Smaller BDDs via Common Function Structure
The increasing popularity of SAT and BDD techniques in verification and synthesis encourages the search for additional speed-ups. Since typical SAT and BDD algorithms are exponent...
Fadi A. Aloul, Igor L. Markov, Karem A. Sakallah
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
14 years 3 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...