Data Mining and Knowledge Engineering

Manthan J. Vyas ¹

Affiliations
1 MEFGI, IN

Abstract

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.

Keywords

Text Mining, Frequent Pattern, Gujarati Language.

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Manthan J. Vyas ¹, Sanjay D. Bhanderi ²

Affiliations
1 Marwadi Education Foundation Group of Institutions, Gujarat Technological University, Ahmedabad, Gujarat, IN
2 Department of Computer Engineering, Marwadi Education Foundation Group of Institutions, Gujarat Technological University, Rajkot, IN

Abstract

Text mining is the process of obtaining interesting patterns or knowledge from text documents. The most often used type of data in the WWW is text. Text mining is used to extract interesting knowledge from unstructured text data. Pre-processing is a very important phase in the text mining process. Text mining framework includes two components, text refining and knowledge distillation. This paper is about pre-processing for text mining in English and Gujarati language. There is very less work done for text mining in Gujarati language. It is very challenging task as Gujarati is very rich in morphology, it gives rise to a very large number of word forms and feature spaces. Some pre-processing techniques in Gujarati are introduced in this paper.

Keywords

Pre-Processing, Stop-Words, Stemming, Text Mining.

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