Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
By providing direct data transfer between storage and client, network-attached storage devices have the potential to improve scalability for existing distributed file systems (by...
Garth A. Gibson, David Nagle, Khalil Amiri, Fay W....
It is argued that digital libraries of the future will contain terabyte-scale collections of digital text and that full-text searching techniques will be required to operate over c...