This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
In this paper we describe the X-TRACT workbench, which enables efficient termbased querying against a domain-specific literature corpus. Its main aim is to aid domain specialists ...
Kostas Manios, Goran Nenadic, Irena Spasic, Sophia...
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
In this paper we give an overview, how to apply region based methods for the synthesis of Petri nets from languages to process mining. The research domain of process mining aims at...
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...