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» Evaluating algorithms that learn from data streams
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DOCENG
2006
ACM
16 years 1 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
SAC
2006
ACM
16 years 1 months ago
Automatic structured query transformation over distributed digital libraries
Structured data and complex schemas are becoming the main way to represent the information many Digital Libraries provide, thus impacting the services they offer. When searching i...
M. Elena Renda, Umberto Straccia
VIS
2008
IEEE
154views Visualization» more  VIS 2008»
16 years 8 months ago
Volume MLS Ray Casting
The method of Moving Least Squares (MLS) is a popular framework for reconstructing continuous functions from scattered data due to its rich mathematical properties and well-underst...
Christian Ledergerber, Gaël Guennebaud, Miriah ...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
16 years 7 months ago
Probabilistic frequent itemset mining in uncertain databases
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
Andreas Züfle, Florian Verhein, Hans-Peter Kr...
207
Voted
WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
16 years 1 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...