Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
Code restructuring compilers rely heavily on program analysis techniques to automatically detect data dependences between program statements. Dependences between statement instanc...
Johnnie Birch, Robert A. van Engelen, Kyle A. Gall...
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Abstract--SUDA2 is a recursive search algorithm for Minimal Unique Itemset detection. Such sets of items are formed via combinations of non-obvious attributes enabling individual r...
Paraskevas Yiapanis, David J. Haglin, Anna M. Mann...