Volume 4, Issue 1, June 2019, Page: 19-23
Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining
Kittappa Thiagarajan, Academic Research and Development, Jeppiaar Engineering College, Chennai, India
Jeyavel Kavitha, Department of Mathematics, R&D Centre, Bharathiar University, Coimbatore, India
Karunakaran Sarukesi, KCG College Engineering and Technology, Chennai, India
Avudaiappan Maheshwari, Department of Computer Science and Engineering, Jeppiaar Engineering College, Chennai, India
Received: Feb. 25, 2019;       Accepted: Apr. 10, 2019;       Published: May 11, 2019
DOI: 10.11648/j.ajdmkd.20190401.14      View  661      Downloads  89
At the present time web contains many indistinguishable documents. Much effort made towards in investigates mechanism with identical detection algorithms, still the retrieved web documents with outmodedlink. In this proposed system, we are successfully identifying and minimize the redundant information and like link in web documents. We introduce the correct graph theory based KTMIN-JAK-MAXAM algorithm filters out the redundant link. From the proposed system, we have relevant information with more accuracy. Using this KTMIN-JAK-MAXAM algorithm accessing of web pages with reduced time and space complication.
Data Mining, Degree, Maximum Degree, Minimum Degree, Link, Path
To cite this article
Kittappa Thiagarajan, Jeyavel Kavitha, Karunakaran Sarukesi, Avudaiappan Maheshwari, Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining, American Journal of Data Mining and Knowledge Discovery. Vol. 4, No. 1, 2019, pp. 19-23. doi: 10.11648/j.ajdmkd.20190401.14
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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