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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 4, APRIL 2016

A Combined Approach for Effective Text Mining using Node Clustering

Yogendra Singh Rajput, Priya Saxena

DOI: 10.17148/IJARCCE.2016.5483

Abstract: Text Mining is an important step of knowledge discovery process. Text mining extracts hidden information from not-structured to semi-structured data. It is the discovery by automatically extracting information from different written resources. There is a two basic methods used in text mining which is term based and phrased based approach; both methods have their merits and demerits. We proposed a combined approached to mine effective text form text documents using advantageous of methods, term based and phrases based simultaneously. The experiment results show the efficiency of the work.



Keywords: Text mining, pattern mining, pattern evolving, information filtering.

How to Cite:

[1] Yogendra Singh Rajput, Priya Saxena, “A Combined Approach for Effective Text Mining using Node Clustering,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5483