A survey on indexing techniques for big data: taxonomy and performance evaluation
Efficient entity resolution based on subgraph cohesion
Multiple task transfer learning with small sample sizes
HICC: an entropy splitting-based framework for hierarchical co-clustering
POI recommendation through cross-region collaborative filtering
Missing value imputation using a fuzzy clustering-based EM approach
Incremental mining of temporal patterns in interval-based database
Minimizing response time in time series classification
Learning from automatically labeled data: case study on click fraud prediction
Ternary Matrix Factorization: problem definitions and algorithms
Privacy-preserving topic model for tagging recommender systems
Discovery of time series \(k\)-motifs based on multidimensional index
A data- and ontology-driven text mining-based construction of reliability model to analyze and predict component failures
An efficient pattern mining approach for event detection in multivariate temporal data
A novel algorithm for mining closed temporal patterns from interval-based data
Clustering XML documents by patterns
Centrality measures-based algorithm to visualize a maximal common induced subgraph in large communication networks
Frequent pattern mining in attributed trees: algorithms and applications
Shifting multi-hypergraphs via collaborative probabilistic voting
Hypergraph querying using structural indexing and layer-related-closure verification
An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams
The logic transformations for reducing the complexity of the discernibility function-based attribute reduction problem
Extend tree edit distance for effective object identification
Discovery of “comet” communities in temporal and labeled graphs Com
\(^2\)
Learning user credibility for product ranking
Classifying imbalanced data in distance-based feature space
Analysis of incomplete and inconsistent clinical survey data
