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ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
13 years 11 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 7 months ago
Mining Views: Database Views for Data Mining
We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining vi...
Élisa Fromont, Adriana Prado, Bart Goethals...
ICDE
2003
IEEE
138views Database» more  ICDE 2003»
14 years 7 months ago
Using State Modules for Adaptive Query Processing
We present a query architecture in which join operators are decomposed into their constituent data structures (State Modules, or SteMs), and dataflow among these SteMs is managed ...
Vijayshankar Raman, Amol Deshpande, Joseph M. Hell...
TLCA
2005
Springer
13 years 11 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...
LREC
2010
180views Education» more  LREC 2010»
13 years 7 months ago
Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
We investigate a number of approaches to generating Stanford Dependencies, a widely used semantically-oriented dependency representation. We examine algorithms specifically design...
Daniel Cer, Marie-Catherine de Marneffe, Daniel Ju...