NDLI: Mining relevant text from unlabelled documents

Content Provider	IEEE Xplore Digital Library
Author	Barbara, D. Domeniconi, C. Ning Kang
Copyright Year	2003
Description	Author affiliation: Inf. & Software Eng. Dept., George Mason Univ., Fairfax, VA, USA (Barbara, D.; Domeniconi, C.; Ning Kang)
Abstract	Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classification of text rely on the existence of a sample of documents whose class labels are known. However, in many situations, obtaining this sample may not be an easy (or even possible) task. We focus on the classification of unlabelled documents into two classes: relevant and irrelevant, given a topic of interest. By dividing the set of documents into buckets (for instance, answers returned by different search engines), and using association rule mining to find common sets of words among the buckets, we can efficiently obtain a sample of documents that has a large percentage of relevant ones. This sample can be used to train models to classify the entire set of documents. We prove, via experimentation, that our method is capable of filtering relevant documents even in adverse conditions where the percentage of irrelevant documents in the buckets is relatively high.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Computational Intelligence IEEE Comput. Soc. Tech. Committee on Pattern Analysis and Machine Intelligence
Starting Page	489
Ending Page	492
File Size	296163
Page Count	4
File Format	PDF
ISBN	0769519784
DOI	10.1109/ICDM.2003.1250959
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Search engines Information retrieval Image retrieval Content based retrieval Web pages Software engineering Application software Forensics Association rules
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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