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» Discovering Case Knowledge Using Data Mining
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ICDE
2005
IEEE
156views Database» more  ICDE 2005»
14 years 9 months ago
Reverse Nearest Neighbors in Large Graphs
A reverse nearest neighbor (RNN) query returns the data objects that have a query point as their nearest neighbor (NN). Although such queries have been studied quite extensively in...
Man Lung Yiu, Dimitris Papadias, Nikos Mamoulis, Y...
DOCENG
2007
ACM
13 years 11 months ago
Speculative document evaluation
Optimisation of real world Variable Data printing (VDP) documents is a difficult problem because the interdependencies between layout functions may drastically reduce the number o...
Alexander J. Macdonald, David F. Brailsford, Steve...
FLAIRS
2007
13 years 10 months ago
Improving Cluster Method Quality by Validity Indices
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Narjes Hachani, Habib Ounelli
SSDBM
2009
IEEE
77views Database» more  SSDBM 2009»
14 years 2 months ago
Query Recommendations for Interactive Database Exploration
Abstract. Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenar...
Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis P...
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
14 years 2 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...