Mixed-membership naive Bayes models
Improving constrained pattern mining with first-fail-based heuristics
An efficient and effective similarity measure to enable data mining of petroglyphs
Learning model trees from evolving data streams
Krimp: mining itemsets that compress
Publishing anonymous survey rating data
Maximum entropy models and subjective interestingness: an application to tiles in binary databases
Leveraging social media networks for classification
Measuring the component overlapping in the Gaussian mixture model
All normalized anti-monotonic overlap graph measures are bounded
Summarizing transactional databases with overlapped hyperrectangles
Mining frequent itemsets over distributed data streams by continuously maintaining a global synopsis
Matching samples of multiple views
Sequence classification via large margin hidden Markov models
Fast density-weighted low-rank approximation spectral clustering