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CIKM
2008
Springer
13 years 7 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
BMCBI
2010
141views more  BMCBI 2010»
13 years 5 months ago
CIG-DB: the database for human or mouse immunoglobulin and T cell receptor genes available for cancer studies
Background: Immunoglobulin (IG or antibody) and the T-cell receptor (TR) are pivotal proteins in the immune system of higher organisms. In cancer immunotherapy, the immune respons...
Yoji Nakamura, Tomoyoshi Komiyama, Motoki Furue, T...
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 7 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
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 4 days ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li