Noise-tolerance matrix completion for location recommendation
Imbalanced classification in sparse and large behaviour datasets
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile
BSig: evaluating the statistical significance of biclustering solutions
Fast and accurate mining of correlated heavy hitters
Selective harvesting over networks
The inner and outer approaches to the design of recursive neural architectures
Toward online node classification on streaming networks
Model-based and actual independence for fairness-aware classification
Interpretation of text patterns
Labeled Phrase Latent Dirichlet Allocation and its online learning algorithm
Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model
SICA: subjectively interesting component analysis
Speeding up similarity search under dynamic time warping by pruning unpromising alignments
Cluster-based trajectory segmentation with local noise
Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis
Optimizing dynamic time warping’s window width for time series data mining applications
Anytime parallel density-based clustering
Do your friends make you buy this brand?
Exploiting the roles of aspects in personalized POI recommender systems
Self-monitoring for maintenance of vehicle fleets
Infinite ensemble clustering
Bounding the difference between RankRC and RankSVM and application to multi-level rare class kernel ranking
An improvement of the parameterized frequent directions algorithm
Robust graph regularized nonnegative matrix factorization for clustering
Fast analytical methods for finding significant labeled graph motifs
Efficient geometric-based computation of the string subsequence kernel
Online estimation of discrete, continuous, and conditional joint densities using classifier chains
Anytime discovery of a diverse set of patterns with Monte Carlo tree search
An optimization model for collaborative recommendation using a covariance-based regularizer
Kernel mixture model for probability density estimation in Bayesian classifiers
Provenance Network Analytics
Editor's Note: Special Section on Data Mining for Smart Cities
Targeted interest-driven advertising in cities using Twitter
Mining urban events from the tweet stream through a probabilistic mixture model
Data-driven generation of spatio-temporal routines in human mobility
Structural robustness and service reachability in urban settings
Robust finite mixture regression for heterogeneous targets
Scalable and exact sampling method for probabilistic generative graph models
An adaptive algorithm for anomaly and novelty detection in evolving data streams
A probabilistic stop and move classifier for noisy GPS trajectories
Constrained distance based clustering for time-series: a comparative and experimental study
A kernel-based trend pattern tracking system for portfolio optimization
Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks
Extreme-value-theoretic estimation of local intrinsic dimensionality
Exact variable-length anomaly detection algorithm for univariate and multivariate time series
Introduction to the special issue for the ECML PKDD 2018 journal track
Analyzing concept drift and shift from sample data
Exploring variable-length time series motifs in one hundred million length scale
Fast schemes for online record linkage
Efficiently summarizing attributed diffusion networks
Linear regression for uplift modeling
Temporal stability in predictive process monitoring
ColdRoute: effective routing of cold questions in stack exchange sites
Using core-periphery structure to predict high centrality nodes in time-varying networks
Dynamic graph summarization: a tensor decomposition approach
Social centrality using network hierarchy and community structure
Explaining anomalies in groups with characterizing subspace rules
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows
