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Reseach Article

Knowledge Discovery in Text Mining using Association Rule Extraction

by Manasi Kulkarni, Sagar Kulkarni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 143 - Number 12
Year of Publication: 2016
Authors: Manasi Kulkarni, Sagar Kulkarni
10.5120/ijca2016910144

Manasi Kulkarni, Sagar Kulkarni . Knowledge Discovery in Text Mining using Association Rule Extraction. International Journal of Computer Applications. 143, 12 ( Jun 2016), 30-35. DOI=10.5120/ijca2016910144

@article{ 10.5120/ijca2016910144,
author = { Manasi Kulkarni, Sagar Kulkarni },
title = { Knowledge Discovery in Text Mining using Association Rule Extraction },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 143 },
number = { 12 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume143/number12/25131-2016910144/ },
doi = { 10.5120/ijca2016910144 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:46:14.836639+05:30
%A Manasi Kulkarni
%A Sagar Kulkarni
%T Knowledge Discovery in Text Mining using Association Rule Extraction
%J International Journal of Computer Applications
%@ 0975-8887
%V 143
%N 12
%P 30-35
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Internet and information technology are the platform where huge amount of information is available to use. But searching the exact information for some knowledge is time consuming and results confusion in dealing with it. Retrieving knowledge manually from collection of web documents and database may cause to miss the track for user. Text mining is helpful to user to find accurate information or knowledge discovery and features in the text documents. Thus there is need to develop text mining approach which clearly guides the user about what is important information and what is not, how to deal with important information, how to generate knowledge etc. Knowledge discovery is an increasing field in the research. For a user reading the collection of documents and get some knowledge is time consuming and less effective. There has been a significant improvement in the research related to generating Knowledge Discovery from collection of documents. We propose a method of generating Knowledge Discovery in Text mining using Association Rule Extraction. Using this approach the users are able to find accurate and important knowledge from the collection of web documents which will reduce time for reading all those documents.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Text Mining Association Rule knowledge discovery stemming term frequency