Sciweavers

2090 search results - page 49 / 418
» Learning with attribute costs
Sort
View
ICDE
2005
IEEE
114views Database» more  ICDE 2005»
14 years 2 months ago
VAMANA - A Scalable Cost-Driven XPath Engine
¡ Several systems have recently been proposed for the evaluation of XPath expressions. However, none of these systems have demonstrated both scalability with large document sizes ...
Venkatesh Raghavan, Kurt W. Deschler, Elke A. Rund...
ICDE
2007
IEEE
113views Database» more  ICDE 2007»
14 years 10 months ago
Reducing Order Enforcement Cost in Complex Query Plans
Algorithms that exploit sort orders are widely used to implement joins, grouping, duplicate elimination and other set operations. Query optimizers traditionally deal with sort ord...
Ravindra Guravannavar, S. Sudarshan
PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
14 years 2 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 3 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
FLAIRS
2008
13 years 11 months ago
Distance Metric Learning for Conditional Anomaly Detection
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
Michal Valko, Milos Hauskrecht