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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 8 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
ECBS
2010
IEEE
230views Hardware» more  ECBS 2010»
13 years 11 months ago
A Model-Based Regression Testing Approach for Evolving Software Systems with Flexible Tool Support
Model-based selective regression testing promises reduction in cost and labour by selecting a subset of the test suite corresponding to the modifications after system evolution. H...
Qurat-ul-ann Farooq, Muhammad Zohaib Z. Iqbal, Zaf...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 8 months ago
Cost-effective outbreak detection in networks
Given a water distribution network, where should we place sensors to quickly detect contaminants? Or, which blogs should we read to avoid missing important stories? These seemingl...
Andreas Krause, Carlos Guestrin, Christos Faloutso...
SSD
2009
Springer
124views Database» more  SSD 2009»
14 years 2 months ago
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series
ELKI is a unied software framework, designed as a tool suitable for evaluation of dierent algorithms on high dimensional realvalued feature-vectors. A special case of high dimens...
Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel...
CHI
2005
ACM
14 years 8 months ago
Interactive web usage mining with the navigation visualizer
Web usage mining, the analysis of user navigation paths through web sites, is a common technique for evaluating site designs or adaptive hypermedia techniques. However, often it i...
Eelco Herder, Harald Weinreich