Cloud resource allocation schemes: review, taxonomy, and opportunities
Intelligent bus routing with heterogeneous human mobility patterns
MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels
k-Degree anonymity and edge selection: improving data utility in large networks
Selective AnDE for large data learning: a low-bias memory constrained approach
Radius-aware approximate blank node matching using signatures
DIDES: a fast and effective sampling for clustering algorithm
Attributed graph mining in the presence of automorphism
Visual domain adaptation via transfer feature learning
Fuzzy knowledge-based token-ordering policies for bullwhip effect management in supply chains
Uncovering and predicting the dynamic process of information cascades with survival model
Developing provenance-aware query systems: an occurrence-centric approach
A highly scalable parallel algorithm for maximally informative k-itemset mining
An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach
Boosting for graph classification with universum
Correlation analysis techniques for uncertain time series
Clinical evidence framework for Bayesian networks
Prediction of places of visit using tweets
Handling failing RDF queries: from diagnosis to relaxation
Truss decomposition of uncertain graphs
Rule-based inference and decomposition for distributed in-network processing in wireless sensor networks
Emergency management using geographic information systems: application to the first Romanian traveling salesman problem instance
Information warfare: a lightweight matrix-based approach for database recovery
Representation and analysis of enterprise models with semantic techniques: an application to ArchiMate, e3value and business model canvas
Graphlet decomposition: framework, algorithms, and applications
Towards efficient top-k reliability search on uncertain graphs
Context-aware query expansion method using Language Models and Latent Semantic Analyses
An effective and interpretable method for document classification
Toward value difference metric with attribute weighting
DBMUTE: density-based majority under-sampling technique
DASC: data aware algorithm for scalable clustering
Top-k coupled keyword recommendation for relational keyword queries
Active inference for dynamic Bayesian networks with an application to tissue engineering
Event-based summarization using a centrality-as-relevance model
SILVERBACK+: scalable association mining via fast list intersection for columnar social data
Sharing beliefs among agents with different degrees of credibility
