Mining Frequent Item Set Using Cluster Approach from Large Uncertain Database
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015

Mining Frequent Item Set Using Cluster Approach from Large Uncertain Database

Naveen Sarawgi, C. Malathy

The data handling in emerging application and technology like sensor systems, location based system and data integration, are often inaccurate and inexact in nature. In this paper we study the extracting of most frequent item set from large size of uncertain database. The main aim of frequent item set mining is to extract useful information and knowledge from uncertain databases. We propose frequent pattern and Fuzzy C-means algorithm. The combination of frequent pattern algorithm and fuzzy c-means algorithm provide fast and accurate mined information.

Keywords: Frequent pattern algorithm, Fuzzy C-means algorithm, uncertain database

Edition: Volume 4 Issue 4, April 2015

Pages: 1546 - 1551

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How to Cite this Article?

Naveen Sarawgi, C. Malathy, "Mining Frequent Item Set Using Cluster Approach from Large Uncertain Database", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB153381, Volume 4 Issue 4, April 2015, 1546 - 1551

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