Data Science

<p>Streaming Methods in Data Analysis.- A Framework for Scalable Correlation of Spatio-temporal Event Data.- Towards More Data-Aware Application Integration.- Applying NoSQL Databases for Integrating Web Educational Stores - An Ontology-Based Approach.- Implementing Peer-to-Peer Semantic Integration of Linked Data.- Virtual Network Mapping: A Graph Pattern Matching Approach.- A Fast Approach for Detecting Overlapping Communities in Social Networks Based on Game Theory.- Consistent RDF Updates with Correct Dense Deltas.- Query-Oriented Summarization of RDF Graphs.- ReX: Extrapolating Relational Data in a Representative Way.- Evaluation Measures for Event Detection Techniques on Twitter Data Streams.- A Framework for Selecting Deep Learning Hyper-parameters.- Using Virtual Meeting Structure to Support Summarisation.- NotaQL Is Not a Query Language! It’s for Data Transformation on Wide-Column Stores.- NoSQL Approach to Large Scale Analysis of Persisted Streams.- Horizontal Fragmentation and Replication for Multiple Relaxation Attributes.- Scalable Queries Over Log Database Collections.- ECST – Extended Context-Free Straight-Line Tree Grammars.- Configuring Spatial Grids for Efficient Main Memory Joins.- Transactional and Incremental Type Inference from Data Updates.</p>