This paper introduces a novel type of query, what we name Spatio-temporal Pattern Queries (STP). Such a query speciļ¬es a spatiotemporal pattern as a sequence of distinct spatial...
Marios Hadjieleftheriou, George Kollios, Petko Bak...
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
ng the Accessor Classification Approach to Detect Abstract Data Types icle presents an approach to identify abstract data types (ADTs) in source code. For each structured type deļ...
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
: This paper presents an approach for the automated extraction of process patterns from Event-driven Process Chain (EPC) models in engineering domains. The manually extraction of p...