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» Discovering Case Knowledge Using Data Mining
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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...
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
EPIA
2003
Springer
14 years 27 days ago
An Evolvable Rule-Based E-mail Agent
The Semantic Web is a “living organism”, which combines autonomously evolving data sources/knowledge repositories. This dynamic character of the Semantic Web requires (declarat...
José Júlio Alferes, Antonio Brogi, J...
ISSRE
2010
IEEE
13 years 6 months ago
Pinpointing the Subsystems Responsible for the Performance Deviations in a Load Test
—Large scale systems (LSS) contain multiple subsystems that interact across multiple nodes in sometimes unforeseen and complicated ways. As a result, pinpointing the subsystems t...
Haroon Malik, Bram Adams, Ahmed E. Hassan
JISE
2008
77views more  JISE 2008»
13 years 7 months ago
Formalized Entity Extraction Methodology for Changeable Business Requirements
business requirement in the real world cannot be abstracted correctly into an entity-relationship schema. Once core entities are discovered, we can obtain an Entity-Relationship Di...
Namgyu Kim, Sangwon Lee, Songchun Moon