Editorial Board
MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data
Adaptive image enhancement method for correcting low-illumination images
A fully dynamic secret sharing scheme
BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction
Concurrent concept-cognitive learning model for classification
A decomposition and statistical learning based many-objective artificial bee colony optimizer
Semantic interpretability in hierarchical fuzzy systems: Creating semantically decouplable hierarchies
Adaptive variable-structure basis function expansions: Candidates for machine learning
Efficiently and securely outsourcing compressed sensing reconstruction to a cloud
Infeasibility and structural bias in differential evolution
Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method
Learning what we don’t care about: Anti-training with sacrificial functions
Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization
Privacy-preserving and high-accurate outsourced disease predictor on random forest
Heterogeneous multi-attribute nonadditivity fusion for behavioral three-way decisions in interval type-2 fuzzy environment
Defining rough sets using tolerances compatible with an equivalence
Special Issue on Parallel and Distributed Data Mining
Distributed correlation-based feature selection in spark
A multi-factor monitoring fault tolerance model based on a GPU cluster for big data processing
Accelerating binary biclustering on platforms with CUDA-enabled GPUs
Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases
An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets
Exploiting GPU and cluster parallelism in single scan frequent itemset mining
Insights into distributed feature ranking
Parallel feature selection for distributed-memory clusters
An optimized unsupervised manifold learning algorithm for manycore architectures
Distributed classification based on distances between probability distributions in feature space
Distributed FastShapelet Transform: a Big Data time series classification algorithm
An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs
Parallel approach to incremental co-location pattern mining
A periodicity-based parallel time series prediction algorithm in cloud computing environments
Parallel k-dominant skyline queries in high-dimensional datasets
Counting cliques in parallel without a cluster: Engineering a fork/join algorithm for shared-memory platforms
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets
A novel GPU-aware Histogram-based algorithm for supporting moving object segmentation in big-data-based IoT application scenarios
