Editorial Board
Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models
Teaching a vehicle to autonomously drift: A data-based approach using Neural Networks
A practical approach to modelling and validating integrity constraints in the Semantic Web
Active learning based support vector data description method for robust novelty detection
Local neighborhood rough set
A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making
Differentially private data publishing via optimal univariate microaggregation and record perturbation
Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts
Rim: A reusable iterative model for big data
Efficient discriminative clustering via QR decomposition-based Linear Discriminant Analysis
Automated playtesting in collectible card games using evolutionary algorithms: A case study in hearthstone
Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems