NDLI: Term Clustering and Confidence Measurement in Document Clustering

Content Provider	IEEE Xplore Digital Library
Author	Csorba, K. Vajk, I.
Copyright Year	2006
Description	Author affiliation: Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest (Csorba, K.; Vajk, I.)
Abstract	A novel topic based document clustering technique is presented in the paper for situations, where there is no need to assign all the documents to the clusters. Under such conditions the clustering system can provide a much cleaner result by rejecting the classification of documents with ambiguous topic. This is achieved by applying a confidence measurement for every classification result and by discarding documents with a confidence value less than a predefined lower limit. This means that our system returns the classification for a document only if it feels sure about it If not, the document is marked as "unsure". Beside this ability the confidence measurement allows the use of a much stronger term filtering, performed by a novel, supervised term cluster creation and term filtering algorithm, which is presented in this paper as well.
Starting Page	1
Ending Page	6
File Size	4362551
Page Count	6
File Format	PDF
ISBN	1424400716
DOI	10.1109/ICCCYB.2006.305694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Automation supervised learning document clustering confidence term cluster creation Information filtering Paper technology Supervised learning Filtering algorithms Information filters Feature extraction Frequency Informatics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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