Pattern Discovery Using Text Mining in Gujarati Language

The availability of constantly accelerative amount of textual data of various Indian regional languages in electronic form has increased. So the mining of text documents based on languages is necessary. The objective of the work is to discover frequent patterns from Gujarati text data. In this paper, we focused on developing pattern mining algorithm that can be used to find different text patterns. This paper presents an effective pattern discovery technique which uses pattern taxonomy model. In our proposed work, text files are taken as an input and we apply pattern taxonomy model with ECLAT algorithm and generate the results.