Many real–world information needs are naturally formulated as queries with temporal constraints. However, the structured temporal background information needed to support such c...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about...
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
This paperdescribes the use of a powerful graph query language for querying programs, and a novel combination of transformations for generating efficient implementations of the q...
K. Tuncay Tekle, Michael Gorbovitski, Yanhong A. L...