Editorial Board
Experimental explorations on short text topic mining between LDA and NMF based Schemes
A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization
Polygonal data analysis: A new framework in symbolic data analysis
Intelligent operation of heavy haul train with data imbalance: A machine learning method
Locality-constrained least squares regression for subspace clustering
Kernelized Elastic Net Regularization based on Markov selective sampling
An improved path-based clustering algorithm
Improved fireworks algorithm with information exchange for function optimization
Metric-based L-fuzzy rough sets: Approximation operators and definable sets
Sequential three-way classifier with justifiable granularity
Approximate logic neuron model trained by states of matter search algorithm
Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets
Joint multi-label classification and label correlations with missing labels and feature selection
Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines
Transfer subspace learning via low-rank and discriminative reconstruction matrix
A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem
M-Skyline: Taking sunk cost and alternative recommendation in consideration for skyline query on uncertain data
Large scale distributed spatio-temporal reasoning using real-world knowledge graphs
Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding
Ensemble-based overlapping community detection using disjoint community structures
Enhancing semantic image retrieval with limited labeled examples via deep learning
An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features
Atom search optimization and its application to solve a hydrogeologic parameter estimation problem
Revisiting inconsistent judgments for incomplete fuzzy linguistic preference relations: Algorithms to identify and rectify ordinal inconsistencies
Incremental approaches for feature selection from dynamic data with the variation of multiple objects
CNN and RNN based payload classification methods for attack detection
An approach to XBRL interoperability based on Ant Colony Optimization algorithm
Evidential reasoning approach with multiple kinds of attributes and entropy-based weight assignment
Online adaptive machine learning based algorithm for implied volatility surface modeling
Unsupervised classification of 12-lead ECG signals using wavelet tensor decomposition and two-dimensional Gaussian spectral clustering
An incremental method to detect communities in dynamic evolving social networks
A stratified sampling based clustering algorithm for large-scale data
Topic-enhanced emotional conversation generation with attention mechanism
Planetary gearbox fault feature learning using conditional variational neural networks under noise environment
Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection
Forecasting short-term traffic speed based on multiple attributes of adjacent roads
Singular value decomposition based recommendation using imputed data
A large-group emergency risk decision method based on data mining of public attribute preferences
Low-rank kernel learning for graph-based clustering
A survey of multiple types of text summarization with their satellite contents based on swarm intelligence optimization algorithms
Novel orthogonal based collaborative dictionary learning for efficient face recognition
Automatic data clustering using nature-inspired symbiotic organism search algorithm
Evolutionary game theory approach to materialized view selection in data warehouses
An improvement decomposition-based multi-objective evolutionary algorithm using multi-search strategy
An application of fuzzy-logic and grey-relational ANP-based SWOT in the ceramic and tile industry
AMIDST: A Java toolbox for scalable probabilistic machine learning
Prediction of DNA-binding proteins by interaction fusion feature representation and selective ensemble
A filter model for intrusion detection system in Vehicle Ad Hoc Networks: A hidden Markov methodology
Nonnegative matrix factorization for clustering ensemble based on dark knowledge
A two-stage social trust network partition model for large-scale group decision-making problems
User preferences modeling using dirichlet process mixture model for a content-based recommender system
Low-resolution image categorization via heterogeneous domain adaptation
Finding tendencies in streaming data using Big Data frequent itemset mining
Bi-objective optimization for integrating quay crane and internal truck assignment with challenges of trucks sharing
New label noise injection methods for the evaluation of noise filters
Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning
Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
Dual pattern-enhanced representations model for query-focused multi-document summarisation
Weighted nearest neighbors feature selection
An efficient algorithm for graph edit distance computation
A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE
Predicting protein structural classes for low-similarity sequences by evaluating different features
The effect of context-dependent information and sentence constructions on perceived humanness of an agent in a Turing test
Unsupervised cluster analyses of character networks in fiction: Community structure and centrality
Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures
Multi-step forecasting for big data time series based on ensemble learning
Structural regularization in quadratic logistic regression model
Detection of sand dunes on Mars using a regular vine-based classification approach
Dynamic threshold neural P systems
Granularity measures and complexity measures of partition-based granular structures
A procedural texture generation framework based on semantic descriptions
Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
bupaR: Enabling reproducible business process analysis
TAPON: A two-phase machine learning approach for semantic labelling
Influence Factorization for identifying authorities in Twitter
Knowledge-enhanced document embeddings for text classification
Parallel computing method of deep belief networks and its application to traffic flow prediction
Bayesian LDA for mixed-membership clustering analysis: The Rlda package
Hierarchical feature selection with subtree based graph regularization
A study of graph-based system for multi-view clustering
Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget
