Eichinger, Frank, Kramer, David, Böhm, Klemens, Karl, Wolfgang
The decision which hardware platform to use for a certain application is an important problem in computer architecture. This paper reports on a study where a data-mining approach is used for this...
Towards Scalability of Graph-Mining Based Bug Localisation (2009)
Eichinger, Frank, Böhm, Klemens
(Semi-)automated bug localisation is an important issue in software engineering. Recent techniques based on call graphs and graph mining can locate bugs in relatively small programs, but do not scale...
Improved Software Fault Detection with Graph Mining (2008)
Eichinger, Frank, Böhm, Klemens, Huber, Matthias
This work addresses the problem of discovering bugs in software development. We investigate the utilisation of call graphs of program executions and graph mining algorithms to approach this problem....
Kombiniertes Mining von strukturellen und relationalen Daten (2008)
Eichinger, Frank, Böhm, Klemens
Data Mining Techniken wie Klassifikation, Regression und Clusteranalyse finden heutzutage eine weite Verbreitung. Entsprechende relationale Daten liegen in vielen Anwendungsdomänen vor, und...
Sequence Mining for Customer Behaviour Predictions in Telecommunications (2008)
Frank Eichinger, Detlef D. Nauck, Frank Klawonn
Abstract Predicting the behaviour of customers is challenging, but important for service oriented businesses. Data mining techniques are used to make such predictions, typically using only recent...
Sequence Mining for Customer Behaviour Predictions in Telecommunications (2008)
Frank Eichinger, Detlef D. Nauck, Frank Klawonn
Abstract Predicting the behaviour of customers is challenging, but important for service oriented businesses. Data mining techniques are used to make such predictions, typically using only recent...
Mining Edge-Weighted Call Graphs to Localise Software Bugs (2008)
Frank Eichinger, Klemens Böhm, Matthias Huber
An important problem in software engineering is the automated discovery of noncrashing occasional bugs. In this work we address this problem and show that mining of weighted call graphs of program...
Sequence Mining for Customer Behaviour Predictions in Telecommunications (2007)
Eichinger, Frank, Nauck, Detlef D., Klawonn, Frank
Predicting the behaviour of customers is challenging, but important for service oriented businesses. Data mining techniques are used to make such predictions, typically using only recent static data....