This paper contributes to a facet from the area of Web Information Retrieval that has recently received much attention: The satisfaction of a user's personal information need ...
In MDE, model transformations should be efficiently tested so that it may be used and reused safely. Mutation analysis is an efficient technique to evaluate the quality of test dat...
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Abstract-- Analysis of workflows in terms of structural correctness is important for ensuring the quality of workflow models. Typically, this analysis is only one step in a larger ...
Rainer Hauser, Michael Friess, Jochen Malte Kü...
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie