On constrained spectral clustering and its applications
Hierarchical co-clustering: off-line and incremental approaches
The effect of homogeneity on the computational complexity of combinatorial data anonymization
Training and assessing classification rules with imbalanced data
Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification
Anomaly detection in large-scale data stream networks
Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection
A statistical significance testing approach to mining the most informative set of patterns
Classification of time series by shapelet transformation
Semi-supervised projected model-based clustering
Feature selection for k-means clustering stability: theoretical analysis and an algorithm
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets
Behavior-based clustering and analysis of interestingness measures for association rule mining
Discovering episodes with compact minimal windows
Multiple instance learning via Gaussian processes
Assessing the quality of multilevel graph clustering
Ensemble-based noise detection: noise ranking and visual performance evaluation
Adaptive evolutionary clustering
G-Tries: a data structure for storing and finding subgraphs
Conditional ordinal random fields for structured ordinal-valued label prediction
Repeated labeling using multiple noisy labelers
Affinity-driven blog cascade analysis and prediction
Aggregative quantification for regression
Exploiting domain knowledge to detect outliers
Generating multiple alternative clusterings via globally optimal subspaces
Para
Miner: a generic pattern mining algorithm for multi-core architectures
CID: an efficient complexity-invariant distance for time series
GA-TVRC-Het: genetic algorithm enhanced time varying relational classifier for evolving heterogeneous networks
A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences
Subspace clustering of high-dimensional data: a predictive approach
A time-efficient breadth-first level-wise lattice-traversal algorithm to discover rare itemsets
Interesting pattern mining in multi-relational data
Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track
Learning about meetings
Generalization-based privacy preservation and discrimination prevention in data publishing and mining
Approximating the crowd
Ontology of core data mining entities
Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering
Preserving worker privacy in crowdsourcing
Self-organizing maps by difference of convex functions optimization
Unsupervised interaction-preserving discretization of multivariate data
Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas
Discovering bands from graphs
Invariant time-series factorization
Detecting localized homogeneous anomalies over spatio-temporal data
A peek into the black box: exploring classifiers by randomization
Confidence bands for time series data
Classy: fast clustering streams of call-graphs
Overlapping community detection in labeled graphs
