Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study
Fast adaptive kernel density estimator for data streams
Efficient processing of optimal meeting point queries in Euclidean space and road networks
Trust in networks of ontologies and alignments
MILDE: multiple instance learning by discriminative embedding
Dominance relationship analysis with budget constraints
On team formation with expertise query in collaborative social networks
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data
Effective data summarization for hierarchical clustering in large datasets
Fast time intervals mining using the transitivity of temporal relations
Detecting multiple stochastic network motifs in network data
A hybrid approach for content extraction with text density and visual importance of DOM nodes
A markov prediction model for data-driven semi-structured business processes
Fast PageRank approximation by adaptive sampling
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures
Defining and evaluating network communities based on ground-truth
Improving the efficiency of traditional DTW accelerators
Shared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion
Joint Schatten \(p\)-norm and \(\ell _p\)-norm robust matrix completion for missing value recovery
Detecting software design defects using relational association rule mining
Privacy-preserving LOF outlier detection
ALPS: an efficient algorithm for top-k spatial preference search in road networks
Extended symbolic approximate reasoning based on linguistic modifiers
Interest-driven private friend recommendation
A modified gravitational search algorithm based on sequential quadratic programming and chaotic map for ELD optimization
Novel harmony search-based algorithms for part-of-speech tagging
