NDLI: Accessing Accurate Documents by Mining Auxiliary Document Information

Content Provider	IEEE Xplore Digital Library
Author	Joby, P.J. Korra, J.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Christ Univ., Bangalore, India (Joby, P.J.; Korra, J.)
Abstract	Earlier techniques of text mining included algorithms like k-means, Naïve Bayes, SVM which classify and cluster the text document for mining relevant information about the documents. The need for improving the mining techniques has us searching for techniques using the available algorithms. This paper proposes one technique which uses the auxiliary information that is present inside the text documents to improve the mining. This auxiliary information can be a description to the content. This information can be either useful or completely useless for mining. The user should assess the worth of the auxiliary information before considering this technique for text mining. In this paper, a combination of classical clustering algorithms is used to mine the datasets. The algorithm runs in two stages which carry out mining at different levels of abstraction. The clustered documents would then be classified based on the necessary groups. The proposed technique is aimed at improved results of document clustering.
Starting Page	634
Ending Page	638
File Size	208124
Page Count	5
File Format	PDF
ISBN	9781479917334
e-ISBN	9781479917341
DOI	10.1109/ICACCE.2015.37
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-01
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text mining Algorithm design and analysis Computer science Document clustering Clustering algorithms Auxiliary Information Classification algorithms Indexes
Content Type	Text
Resource Type	Article

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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
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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
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