Diversiļ¬cation 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...
As data mining evolves and matures more and more businesses are incorporating this technology into their business practices. However, currently data mining and decision support so...
Ken W. Collier, Donald Sautter, Curt Marjaniemi, B...
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
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 ...
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...