Editors, Aims & Scope
A cross organisation compatible workflows generation and execution framework
Ontology-based annotation and retrieval of services in the cloud
Negative selection algorithm based on grid file of the feature space
Query rewriting under query refinements
The influence of global constraints on similarity measures for time-series databases
Knowledge reduction for decision tables with attribute value taxonomies
An effective ensemble pruning algorithm based on frequent patterns
Utilizing user tag-based interests in recommender systems for social resource sharing websites
A mapping-based tree similarity algorithm and its application to ontology alignment
Reporting and analyzing alternative clustering solutions by employing multi-objective genetic algorithm and conducting experiments on cancer data
Supervised feature subset selection with ordinal optimization
Beyond cluster labeling: Semantic interpretation of clusters’ contents using a graph representation
A new user similarity model to improve the accuracy of collaborative filtering
A smart TV system with body-gesture control, tag-based rating and context-aware recommendation
Some methods to deal with unacceptable incomplete 2-tuple fuzzy linguistic preference relations in group decision making
Automatic construction of domain-specific sentiment lexicon based on constrained label propagation
Automatic preference learning on numeric and multi-valued categorical attributes
Combining QoS prediction and customer satisfaction estimation to solve cloud service trustworthiness evaluation problems
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
Methodology for developing an advanced communications system for the Deaf in a new domain
A fuzzy multi-criteria group decision making method for individual research output evaluation with maximum consensus
A new decision-making method by incomplete preferences based on evidence distance
An entropy-based neighbor selection approach for collaborative filtering
Efficient frequent itemset mining methods over time-sensitive streams
HMM-based hybrid meta-clustering ensemble for temporal data
FIMUS: A framework for imputing missing values using co-appearance, correlation and similarity analysis
A property-based abstraction framework for SysML activity diagrams
