Selective sampling techniques for feedback-based data retrieval
A survey of hierarchical classification across different application domains
A disk-aware algorithm for time series motif discovery
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood
Time series shapelets: a novel technique that allows accurate, interpretable and fast classification
Web robot detection techniques: overview and limitations
Tree pattern expression for extracting information from syntactically parsed text corpora
Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction
Detecting and ordering salient regions
Classifier evaluation and attribute selection against active adversaries
Guest editorial: special issue on data mining with matrices, graphs and tensors
Manifold elastic net: a unified framework for sparse dimension reduction
Matrix-variate and higher-order probabilistic projections
Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization
Nonnegative tensor factorization as an alternative Csiszar–Tusnady procedure: algorithms, convergence, probabilistic interpretations and novel probabilistic tensor latent variable analysis algorithms
Hierarchical visual event pattern mining and its applications
Community discovery using nonnegative matrix factorization