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» Exploiting Temporal Relations in Mining Hepatitis Data
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AIIA
2003
Springer
14 years 26 days ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
MTA
2006
296views more  MTA 2006»
13 years 7 months ago
The Cuidado music browser: an end-to-end electronic music distribution system
The IST project Cuidado, which started in January 2001, aims at producing the first entirely automatic chain for extracting and exploiting musical metadata for browsing music. The...
François Pachet, Jean-Julien Aucouturier, A...
FQAS
2004
Springer
146views Database» more  FQAS 2004»
13 years 11 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
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...
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 9 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...