Exploiting reciprocity toward link prediction
Modeling recurring concepts in data streams: a graph-based framework
Learning patterns for discovering domain-oriented opinion words
An efficient path computing model for measuring semantic similarity using edge and density
A many-sorted theory proposal for information retrieval: axiomatization and semantics
The largest empty circle with location constraints in spatial databases
Active instance matching with pairwise constraints and its application to Chinese knowledge base construction
Simulated annealing-based immunodominance algorithm for multi-objective optimization problems
Artificial bee colony-based support vector machines with feature selection and parameter optimization for rule extraction
Core techniques of question answering systems over knowledge bases: a survey
Graph-based review spammer group detection
Discovering topic structures of a temporally evolving document corpus
Dynamic argumentation in UbiGDSS
Heterogeneous representation learning with separable structured sparsity regularization
Time series classification with feature covariance matrices
Reducing uncertainties in land cover change models using sensitivity analysis
GLEAM: a graph clustering framework based on potential game optimization for large-scale social networks
Mobile Apps identification based on network flows
Forgetting techniques for stream-based matrix factorization in recommender systems
STEM: a suffix tree-based method for web data records extraction
Link prediction in evolving heterogeneous networks using the NARX neural networks
On mining approximate and exact fault-tolerant frequent itemsets
Predicting high-risk students using Internet access logs
Distributed robust Gaussian Process regression
Pythagorean fuzzy mathematical programming method for multi-attribute group decision making with Pythagorean fuzzy truth degrees
Estimating global opinions by keeping users from fraud in online review systems
Self-labeling techniques for semi-supervised time series classification: an empirical study