Information obtained by merging data extracted from problem reporting systems – such as Bugzilla – and versioning systems – such as Concurrent Version System (CVS) – is wi...
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
The access patterns of the users of a web-site are traditionally analyzed in order to facilitate the user access to the site's information. In this study, however, a systemat...
Amir M. Zarkesh, Jafar Adibi, Cyrus Shahabi, Reza ...
Background: Detection of Loss of Heterozygosity (LOH) is one of the most common molecular applications in the study of human diseases, in particular cancer. The technique is commo...
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...