A Combined Approach for Effective Text Mining using Node Clustering
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, âA Combined Approach for Effective Text Mining using Node Clustering,â International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5483
