This paper describes our experience in aggregating a number of historical datasets containing inspection defect data using different categorization schemes. Our goal was to make u...
Carolyn B. Seaman, Forrest Shull, Myrna Regardie, ...
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
: In many application areas like e-science and data-warehousing detailed information about the origin of data is required. This kind of information is often referred to as data pro...
FCA has been successfully applied to software engineering tasks such as source code analysis and class hierarchy re-organization. Most notably, FCA hematics behind the mechanism of...
Michel Dao, Marianne Huchard, Mohamed Rouane Hacen...