Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Diversification of software assets through changing requirements impose a constant challenge on the developers and maintainers of large software systems. Recent research has addr...
Michael Fischer, Johann Oberleitner, Jacek Ratzing...
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
Research communities are very important for researchers undertaking new research topics. In this paper, we propose a community mining system using bibliography data in order to ...