To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
Automatic methods to evaluate the perceptual quality of a digital video sequence have widespread applications wherever the end-user is a human. Several objective video quality ass...
Kalpana Seshadrinathan, Rajiv Soundararajan, Alan ...
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
A new class of associations (polynomial itemsets and polynomial association rules) is presented which allows for discovering nonlinear relationships between numeric attributes wit...
Business processes that span organizational borders describe the interaction between multiple parties working towards a common objective. They also express business rules that gov...
Alexander Lazovik, Marco Aiello, Mike P. Papazoglo...