Alternative prior assumptions for improving the performance of naïve Bayesian classifiers
A global optimization method for semi-supervised clustering
Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results
Active learning for object classification: from exploration to exploitation
Sourcerer: mining and searching internet-scale software repositories
CONTOUR: an efficient algorithm for discovering discriminating subsequences
Transaction aggregation as a strategy for credit card fraud detection
Scalable pattern mining with Bayesian networks as background knowledge
FRAPP: a framework for high-accuracy privacy-preserving mining
Controlled experiments on the web: survey and practical guide
DECODE: a new method for discovering clusters of different densities in spatial data
Harmony K-means algorithm for document clustering
A divide-and-conquer recursive approach for scaling up instance selection algorithms
A link mining algorithm for earnings forecast and trading
Ethological data mining: an automata-based approach to extract behavioral units and rules
Incremental sequence-based frequent query pattern mining from XML queries