Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and tucker decompositions
Exceptional Model Mining
On detecting maximal quasi antagonistic communities in signed graphs
Link prediction using time series of neighborhood-based node similarity scores
Sampling frequent and minimal boolean patterns: theory and application in classification
A computational approach inspired by simulated annealing to study the stability of protein interaction networks in cancer and neurological disorders
Accelerating the discovery of unsupervised-shapelets
Evaluating discrete choice prediction models when the evaluation data is corrupted: analytic results and bias corrections for the area under the ROC
Identifying correlated heavy-hitters in a two-dimensional data stream
SONIC: streaming overlapping community detection
Binarised regression tasks: methods and evaluation metrics
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
Mining significant association rules from uncertain data
Characterizing concept drift
Using dynamic time warping distances as features for improved time series classification
Instance-level accuracy versus bag-level accuracy in multi-instance learning
General factorization framework for context-aware recommendations
Efficient temporal mining of micro-blog texts and its application to event discovery
Classification of streaming time series under more realistic assumptions
Fast approximation of betweenness centrality through sampling
Time series representation and similarity based on local autopatterns
Active exploration for large graphs
Exploiting link structure for web page genre identification
Parameter learning in hybrid Bayesian networks using prior knowledge
Enhancing aggregation phase of microaggregation methods for interval disclosure risk minimization
MINAS: multiclass learning algorithm for novelty detection in data streams
Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models
Fast exhaustive subgroup discovery with numerical target concepts
Exemplar learning for extremely efficient anomaly detection in real-valued time series
Generalized Gini Correlation and its Application in Data-Mining
Online route prediction based on clustering of meaningful velocity-change areas
Discovering outlying aspects in large datasets
Guest editors’ introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning
Irrevocable-choice algorithms for sampling from a stream
A distributed approach for graph mining in massive networks
Generalized random shapelet forests
Skopus: Mining top-k sequential patterns under leverage
Using regression makes extraction of shared variation in multiple datasets easy
Top-k overlapping densest subgraphs
Bayesian Wishart matrix factorization
Ensembles of label noise filters: a ranking approach
Locating the contagion source in networks with partial timestamps
Mining rooted ordered trees under subtree homeomorphism
Scalable time series classification
C-BiLDA extracting cross-lingual topics from non-parallel texts by distinguishing shared from unshared content
ClusPath: a temporal-driven clustering to infer typical evolution paths
An efficient exact algorithm for triangle listing in large graphs
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models
Optimizing network robustness by edge rewiring: a general framework
