Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection
Topic-sentiment evolution over time: a manifold learning-based model for online news
Sentiment analysis using rule-based and case-based reasoning
Modeling cyber-physical systems – a GliderAgent 3.0 perspective
A multi-aspect approach to ontology matching based on Bayesian cluster ensembles
PARASOL: a hybrid approximation approach for scalable frequent itemset mining in streaming data
An updated dashboard of complete search FSM implementations in centralized graph transaction databases
Incorporating communities’ structures in predictions of missing links
The contribution of linked open data to augment a traditional data warehouse
A survey on intention analysis: successful approaches and open challenges
Improve the translational distance models for knowledge graph embedding
Machine learning for music genre: multifaceted review and experimentation with audioset
Automated conversion from natural language query to SPARQL query
System for monitoring road slippery based on CCTV cameras and convolutional neural networks
Analysis of street crime predictors in web open data
Compacting frequent star patterns in RDF graphs
A minimum spanning tree based partitioning and merging technique for clustering heterogeneous data sets
An implicit aspect modelling framework for diversity focused query expansion
A survey on question answering systems over linked data and documents
LTR-expand: query expansion model based on learning to rank association rules
Content-Based Document Image Retrieval Based on Document Modeling
Question retrieval using combined queries in community question answering
ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history
Healthcare predictive analytics for disease progression: a longitudinal data fusion approach
Finding discriminatory features from electronic health records for depression prediction
