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» Mining problem-solving strategies from HCI data
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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 11 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
14 years 5 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
14 years 29 days 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...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 8 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
KDD
2002
ACM
164views Data Mining» more  KDD 2002»
14 years 11 months ago
Meta-classification: Combining Multimodal Classifiers
Combining multiple classifiers is of particular interest in multimedia applications. Each modality in multimedia data can be analyzed individually, and combining multiple pieces of...
Wei-Hao Lin, Alexander G. Hauptmann