A Novel Approach for Clustering Textual Information in Various Emails Using Text Data Mining Technique

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Provided by: International Journal of Engineering Research and Development (IJERD)
Topic: Data Management
Format: PDF
Clustering is the technique used for data reduction. It divides the data into groups based on pattern similarities such that each group is abstracted by one or more representatives. Recently, there is a growing emphasis on exploratory analysis of very large datasets to discover useful patterns. This paper explains extracting the useful knowledge represented by clusters from textual information contained in a large number of emails for text and data mining techniques. E-mail data that are now becoming the dominant form of inter and intra organizational written communication for many companies.
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