Editorial Board
RARE: Mining colossal closed itemset in high dimensional data
Big data time series forecasting based on nearest neighbours distributed computing with Spark
Fast independent component analysis algorithm with a simple closed-form solution
Matrix regression preserving projections for robust feature extraction
Akaike Information Criterion-based conjunctive belief rule base learning for complex system modeling
Multiple instance learning for credit risk assessment with transaction data
Two-way negotiation for intelligent hotel reservation based on multiagent: The model and system
Audio classification using attention-augmented convolutional neural network
An autonomous dynamic trust management system with uncertainty analysis
Influence maximization in social networks under Deterministic Linear Threshold Model
Multimodal sentiment analysis using hierarchical fusion with context modeling
Predicting academic performance by considering student heterogeneity
Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models
A unified knowledge compiler to provide support the scientific community
Sequential funding the venture project or not? A prospect consensus process with probabilistic hesitant fuzzy preference information
Binary dragonfly optimization for feature selection using time-varying transfer functions
Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining
High performance visual tracking with circular and structural operators
Assessment for hierarchical medical policy proposals using hesitant fuzzy linguistic analytic network process
Learning disjunctive concepts based on fuzzy semantic cell models through principles of justifiable granularity and maximum fuzzy entropy
Mining microscopic and macroscopic changes in network data streams
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment
Imbalance: Oversampling algorithms for imbalanced classification in R
Adaptive community detection incorporating topology and content in social networks✰
Structural abstraction for model-based diagnosis with a strong fault model
Online recommendations based on dynamic adjustment of recommendation lists
Interval valued entropies for Dempster–Shafer structures
Multiobjective adaptive symbiotic organisms search for truss optimization problems
Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks
Refinement operators for directed labeled graphs with applications to instance-based learning
