Editorial Board
A hierarchical memory network-based approach to uncertain streaming data
Towards efficiently mining closed high utility itemsets from incremental databases
Semi-supervised dimensional sentiment analysis with variational autoencoder
Multi-view Embedding with Adaptive Shared Output and Similarity for unsupervised feature selection
Single Seekers Society (SSS): Bringing together heuristic optimization algorithms for solving complex problems
Interactive dimensionality reduction using similarity projections
Structured approximations as a basis for three-way decisions in rough set theory
A novel multi-objective discrete water wave optimization for solving multi-objective blocking flow-shop scheduling problem
Fuzzy semi-supervised weighted linear loss twin support vector clustering
SFAD: Toward effective anomaly detection based on session feature similarity
Mining personality traits from social messages for game recommender systems
Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems
Identification of fact-implied implicit sentiment based on multi-level semantic fused representation
Fast transfer Gaussian process regression with large-scale sources
Planning with actively eliciting preferences
Mini-batch algorithms with online step size
Localized Multiple Kernel learning for Anomaly Detection: One-class Classification
Utilizing multi-source data in popularity prediction for shop-type recommendation
Granule structures, distances and measures in neighborhood systems
Rough set based semi-supervised feature selection via ensemble selector
Growing semantic vines for robust asset allocation
A membrane algorithm based on chemical reaction optimization for many-objective optimization problems
Data locality optimization based on data migration and hotspots prediction in geo-distributed cloud environment
Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions
A semantic similarity-based perspective of affect lexicons for sentiment analysis
A probabilistic model for truth discovery with object correlations
Improved sine cosine algorithm with crossover scheme for global optimization
Revealing the role of node similarity and community merging in community detection
A λ-rough set model and its applications with TOPSIS method to decision making
Unsupervised word-level affect analysis and propagation in a lexical knowledge graph
Pattern match query over fuzzy RDF graph
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults
