Editorial
Clustering categorical data in projected spaces
Ensemble anomaly detection from multi-resolution trajectory features
Summarizing numeric spatial data streams by trend cluster discovery
Sequential network change detection with its applications to ad impact relation analysis
Very fast decision rules for classification in data streams
Link prediction in heterogeneous data via generalized coupled tensor factorization
To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms
Visualizing multi-dimensional decision boundaries in 2D
Erratum to: Unsupervised interaction-preserving discretization of multivariate data
Guest editorial: Special issue on data mining for medicine and healthcare
Classification-driven temporal discretization of multivariate time series
On mining latent treatment patterns from electronic medical records
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality
Mining strong relevance between heterogeneous entities from unstructured biomedical data
Generative modeling of repositories of health records for predictive tasks
Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data
A relative similarity based method for interactive patient risk prediction
Constrained elastic net based knowledge transfer for healthcare information exchange
Addressing the cold-start problem in location recommendation using geo-social correlations
Exemplar-based low-rank matrix decomposition for data clustering
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series
Learning a symbolic representation for multivariate time series classification
Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results
A framework for dissimilarity-based partitioning clustering of categorical time series
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models
Survey on distance metric learning and dimensionality reduction in data mining
Time series classification with ensembles of elastic distance measures
CenKNN: a scalable and effective text classifier
Graph based anomaly detection and description: a survey
Detecting anomaly collections using extreme feature ranks
On measuring similarity for sequences of itemsets
Evolutionary soft co-clustering: formulations, algorithms, and applications
Multi-period classification: learning sequent classes from temporal domains
Evaluation measures for hierarchical classification: a unified view and novel approaches
The BOSS is concerned with time series classification in the presence of noise
Ensemble methods for uplift modeling
Cluster validity functions for categorical data: a solution-space perspective
Weakly supervised nonnegative matrix factorization for user-driven clustering
A general framework for never-ending learning from time series streams
Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization
Learning sequential classifiers from long and noisy discrete-event sequences efficiently
A general framework for predictive tensor modeling with domain knowledge
Discrimination- and privacy-aware patterns
Multi-relational pattern mining over data streams
Properties of the sample estimators used for statistical normalization of feature vectors
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences
Guest editors introduction: special issue of the ECMLPKDD 2015 journal track
Mining outlying aspects on numeric data
Dynamic inference of social roles in information cascades
Finding the longest common sub-pattern in sequences of temporal intervals
MassExodus: modeling evolving networks in harsh environments
Beyond rankings: comparing directed acyclic graphs
Tractome: a visual data mining tool for brain connectivity analysis
DRESS: dimensionality reduction for efficient sequence search
Ranking episodes using a partition model
Clustering Boolean tensors
Multiscale event detection in social media
Efficient and effective community search
Assessing the impact of a health intervention via user-generated Internet content
Generalization of clustering agreements and distances for overlapping clusters and network communities
Knowledge base completion by learning pairwise-interaction differentiated embeddings
