Editors, Aims & Scope
Characteristic matrixes-based knowledge reduction in dynamic covering decision information systems
Modelling semantics across multiple time series and its applications
Joint model for feature selection and parameter optimization coupled with classifier ensemble in chemical mention recognition
The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches
A cooperative belief rule based decision support system for lymph node metastasis diagnosis in gastric cancer
A gradient approach for value weighted classification learning in naive Bayes
Computer aided detection of spina bifida using nearest neighbor classification with curvature scale space features of fetal skulls extracted from ultrasound images
Random Balance: Ensembles of variable priors classifiers for imbalanced data
A new approach and insightful financial diagnoses for the IT industry based on a hybrid MADM model
A new uniform evolutionary algorithm based on decomposition and CDAS for many-objective optimization
An approach for facility location selection based on optimal aggregation operator
Integrating failure prediction models for water mains: Bayesian belief network based data fusion
Automatic verification of a knowledge base by using a multi-criteria group evaluation with application to security screening at an airport
Piecewise statistic approximation based similarity measure for time series
A memetic algorithm for computing and transforming structural balance in signed networks
Automatic instance selection via locality constrained sparse representation for missing value estimation
Ramp loss nonparallel support vector machine for pattern classification
Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation
MAG: A performance evaluation framework for database systems
Tabu search for the Max–Mean Dispersion Problem
Approximating the maximum common subgraph isomorphism problem with a weighted graph
FARM: An FCA-based Association Rule Miner
Dynamic selection of the best base classifier in One versus One
Multi-linear interactive matrix factorization
Special types of coverings and axiomatization of rough sets based on partial orders
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments
A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets
