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» Scaling up text classification for large file systems
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CIKM
2000
Springer
13 years 9 months ago
Scalable association-based text classification
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...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
COLING
2002
13 years 4 months ago
Selforganizing Classification on the Reuters News Corpus
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...
Stefan Wermter, Chihli Hung
ICML
2000
IEEE
14 years 5 months ago
Using Error-Correcting Codes for Text Classification
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...
Rayid Ghani
SIGMETRICS
1997
ACM
164views Hardware» more  SIGMETRICS 1997»
13 years 9 months ago
File Server Scaling with Network-Attached Secure Disks
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....
ERCIMDL
1997
Springer
106views Education» more  ERCIMDL 1997»
13 years 9 months ago
Scalable Text Retrieval for Large Digital Libraries
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...
David Hawking