We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Contemporary product design and process development is based on an iterative specify-evaluate-revise approach which is often time intensive and therein non-responsive to customer ...
Max Blair, Steven R. LeClair, Jeffrey V. Zweber, A...
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...
Our goal is to develop physically based lighting models and perceptually based rendering procedures for computer graphics that will produce synthetic images that are visually and ...
Donald P. Greenberg, Kenneth E. Torrance, Peter Sh...