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An Efficient Approach in Text Clustering Based on Frequent Itemsets
ENGLISH
2013
International Journal of Innovative Research in Computer and Communication Engineering
ENGLISH
In recent times, the vast amount of textual information available in electronic form is growing at staggering rate. This increasing number of textual data has led to the task of mining useful or interesting frequent itemsets (words/terms) from very large text databases and still it seems to be quite challenging. The use of such frequent itemsets for text clustering has received a great deal of attention in research community since the mined frequent itemsets reduce the dimensionality of the
doi:10.15680/ijircce.2013.0107018
fatcat:bcmlcbn36jexvfvc2am4ewvxwi