International Journal of Soft Computing

Year: 2007
Volume: 2
Issue: 2
Page No. 346 - 348

Association Rule Generation from Textual Document

Authors : S. Ghanshyam Thakur , Rekha Thakur and R.C. Jain

Abstract: In this research study we have done the work for extracting the useful knowledge from textual documents. Text documents are important because there are lots of attractive information hide in documents. Text mining is the process of extracting interesting information and meaningful knowledge from huge `chunk` of unstructured or semi structured text documents. We describe the concept of Binary Matrix Model (BMM) in this research study. We applied the data mining methods on this matrix model for classification of documents.

How to cite this article:

S. Ghanshyam Thakur , Rekha Thakur and R.C. Jain , 2007. Association Rule Generation from Textual Document. International Journal of Soft Computing, 2: 346-348.

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