Downloading: Improving Text Search Process using Text Document Clustering Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064



Your Article PDF will be Downloaded in Next Seconds

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014

Improving Text Search Process using Text Document Clustering Approach

Ruchika Mavis Daniel, Arun Kumar Shukla

Knowledge discovery and data mining is a process of retrieving the meaningful knowledge from the raw data; using different techniques. Therefore; text mining is a sub domain of knowledge discovery from the text data. This paper provides a different way of understanding the text mining and their applications in different real time applications. This paper also includes the design of a hybrid text document clustering approach by which the document organization becomes easier for text search process. That includes the concept of fuzzy calculation; text summarization and traditional k-means clustering for cluster analysis of data. The implementation of the proposed methodology is summarized using a new kind of document clustering algorithm; and implemented using visual studio environment. After implementation of the proposed methodology the performance of the designed system is evaluated using the N-cross validation process. According to the obtained results the proposed system outperformed for text categorization with small amount of resources consumption. So; the proposed methodology is efficient and adoptable for different real time application.

Keywords: text search, text clustering, text classification and categorization

Edition: Volume 3 Issue 5, May 2014

Pages: 1424 - 1428

Share this Article

How to Cite this Article?

Ruchika Mavis Daniel, Arun Kumar Shukla, "Improving Text Search Process using Text Document Clustering Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=20132185, Volume 3 Issue 5, May 2014, 1424 - 1428



Top