Estimating sequence similarity from read sets for clustering next-generation sequencing data
Sampling online social networks by random walk with indirect jumps
Modeling location-based social network data with area attraction and neighborhood competition
Domain agnostic online semantic segmentation for multi-dimensional time series
Ranking evolution maps for Satellite Image Time Series exploration: application to crustal deformation and environmental monitoring
Learning edge weights in file co-occurrence graphs for malware detection
Group recommender system for store product placement
Robust classification of graph-based data
Exact mean computation in dynamic time warping spaces
Setting decision thresholds when operating conditions are uncertain
Automatic discovery of adverse reactions through Chinese social media
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
Deep learning for time series classification: a review
Algorithmic cache of sorted tables for feature selection
A new class of metrics for learning on real-valued and structured data
The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models
Clustering for heterogeneous information networks with extended star-structure
Subjectively interesting connecting trees and forests
Efficiently mining cohesion-based patterns and rules in event sequences
Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations
Multi-target prediction: a unifying view on problems and methods
A tutorial on statistically sound pattern discovery
A review on distance based time series classification
Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting
Noise-free latent block model for high dimensional data
DeepRank: improving unsupervised node ranking via link discovery
Model-free inference of diffusion networks using RKHS embeddings
Algorithms for approximate subtropical matrix factorization
An effective and versatile distance measure for spatiotemporal trajectories
Proximity Forest: an effective and scalable distance-based classifier for time series
Modeling and elucidation of housing price
EACD: evolutionary adaptation to concept drifts in data streams
Guest Editorial
Editor’s Note
Spatial autocorrelation and entropy for renewable energy forecasting
The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series
Concept drift over geological times: predictive modeling baselines for analyzing the mammalian fossil record
A unifying view of explicit and implicit feature maps of graph kernels
HHMF: hidden hierarchical matrix factorization for recommender systems
Efficient mixture model for clustering of sparse high dimensional binary data
More for less: adaptive labeling payments in online labor markets
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
Dynamics reconstruction and classification via Koopman features
Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications
SAZED: parameter-free domain-agnostic season length estimation in time series data
Wrangling messy CSV files by detecting row and type patterns
catch22: CAnonical Time-series CHaracteristics
Contextual bandits with hidden contexts: a focused data capture from social media streams
A unified view of density-based methods for
semi-supervised clustering and classification
Attributed network embedding via subspace discovery
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series
Introduction to the special issue for the ECML PKDD 2019 journal track
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams
Counts-of-counts similarity for prediction and search in relational data
Mining skypatterns in fuzzy tensors
Temporal density extrapolation using a dynamic basis approach
Robust active attacks on social graphs
Multi-location visibility query processing using portion-based transactional modeling and pattern mining
Finding lasting dense subgraphs
Deeply supervised model for click-through rate prediction in sponsored search
Classification with label noise: a Markov chain sampling framework
