DeepAM: a heterogeneous deep learning framework for intelligent malware detection
Linear separability in spatial databases
Community-preserving anonymization of graphs
Recommending packages with validity constraints to groups of users
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
Event stream-based process discovery using abstract representations
A novel classifier ensemble approach for financial distress prediction
Unsupervised outlier detection for time series by entropy and dynamic time warping
Universal trajectories of scientific success
Welcoming two new Co-Editors-in-Chief for KAIS
Differentially private counting of users’ spatial regions
Is my model any good: differentially private regression diagnostics
Iterative column subset selection
Auditing black-box models for indirect influence
Resling: a scalable and generic framework to mine top-k representative subgraph patterns
Binary classifier calibration using an ensemble of piecewise linear regression models
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins
Speeding up dynamic time warping distance for sparse time series data
Tools and approaches for topic detection from Twitter streams: survey
Three iteratively reweighted least squares algorithms for \(L_1\)-norm principal component analysis
Node reactivation model to intensify influence on network targets
Fair multi-agent task allocation for large datasets analysis
A computational model of labor market participation with health shocks and bounded rationality
Activity qualifiers using an argument-based construction
Agent-based tool to reduce the maintenance cost of energy distribution networks
Patterns and anomalies in k-cores of real-world graphs with applications
The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction
