Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
The essence of any modeling approach for product line architectures lies in its ability to express variability. Existing approaches do so by explicitly specifying variation points...
Comparing retrieval approaches requires test collections, which consist of documents, queries and relevance assessments. Obtaining consistent and exhaustive relevance assessments ...
Algorithms for finding frequent itemsets fall into two broad classes: (1) algorithms that are based on non-trivial SQL statements to query and update a database, and (2) algorithms...
In this paper we report results of an informal field study of a software development team conducted during an eight week internship at the NASA/Ames Research Center. The team deve...
Cleidson R. B. de Souza, David F. Redmiles, Gloria...