Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
Kwong-Sak Leung, Kin-Hong Lee, Jin Feng Wang, Eddi...
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
- As a primary technology for broadband wireless access (BWA), mobile WiMAX, recently has gained tremendous momentum in the industrial and academic sectors. However, due to signifi...
Web data integration is an important preprocessing step for web mining. It is highly likely that several records on the web whose textual representations differ may represent the ...