Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
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...
Volume ray casting is based on sampling the data along sight rays. In this technique, reconstruction is achieved by a convolution, which collects the contribution of multiple voxe...
MapBase is a laboratory information system that has been supporting a high-throughput genome-mapping operation for the last three years. We chose to build MapBase around a C++-bas...
Given a history of packet transmissions and an excerpt of a possible packet payload, the payload attribution problem requires the identification of sources, destinations and the t...