Editorial Board
I-TWEC: Interactive clustering tool for Twitter
Classification using hierarchical mixture of discriminative learners: How to achieve high scores with few resources?
Empirical studies of Gaussian process based Bayesian optimization using evolutionary computation for materials informatics
Learning under concept drift with follow the regularized leader and adaptive decaying proximal
Robust graph regularized unsupervised feature selection
Restricted Boltzmann machine to determine the input weights for extreme learning machines
Enhanced movie content similarity based on textual, auditory and visual information
Incorporating knowledge into neural network for text representation
Parallel mining of time-faded heavy hitters
Design and implementation of distributed expert systems: On a control strategy to manage the execution flow of rule activation
Deep multiple multilayer kernel learning in core vector machines
Dynamic optimization in binary search spaces via weighted superposition attraction algorithm
Parameter-less population pyramid for large-scale tower optimization
A generalised fuzzy TOPSIS with improved closeness coefficient
Allocating a fixed cost based on a DEA-game cross efficiency approach
Robust EMG pattern recognition in the presence of confounding factors: features, classifiers and adaptive learning
A multi-attribute fusion approach extending Dempster–Shafer theory for combinatorial-type evidences
Many-objective fuzzy centroids clustering algorithm for categorical data
A hybrid algorithm for packing identical spheres into a container
Web spam classification method based on deep belief networks
Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss
Two-stage DEA-Truncated Regression: Application in banking efficiency and financial development
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
An efficient genetic algorithm for large-scale planning of dense and robust industrial wireless networks
Double-loop learning in project environments: An implementation approach
Taking advantage of multi-regions-based diagonal texture structure descriptor for image retrieval
A new quantum chaotic cuckoo search algorithm for data clustering
Optimizing residential energy management using an autonomous scheduler system
A weighted N-list-based method for mining frequent weighted itemsets
Data sanitization in association rule mining: An analytical review
Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis
A generalized game theoretic framework for mining communities in complex networks
A two-phase MILP approach to integrate order, customer and manufacturer characteristics into Dynamic Manufacturing Network formation and operational planning
Power consumption minimization by distributive particle swarm optimization for luminance control and its parallel implementations
A Block-based genetic algorithm for disassembly sequence planning
Personalization of wellness recommendations using contextual interpretation
