Exploratory Data Mining Lead by Text Mining Using a Novel High Dimensional Clustering Algorithm

Authors:
Rasika Amarasiri;Jason Ceddia;Damminda Alahakoon
Affiliations:
Monash University, Australia;Monash University, Australia;Monash University, Australia
Venue:
ICMLA '05 Proceedings of the Fourth International Conference on Machine Learning and Applications
Year:
2005

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Abstract

Text mining has emerged as a different stream in data mining because of the unstructured nature associated with free text. Many algorithms have been developed to assist in text mining. This paper presents the use of text mining based on a novel high dimensional clustering algorithm that leads to the exploratory data mining on data associated with the text. Experimental results of analyzing a real-world text data set and associated data are also presented.