"FUZZY SET APPROACHES TO DATA MINING OF ASSOCIATION RULE" by SHIVANGI SENGAR, SAKSHI PRIYA et al.

Home > JOURNALS > IJCSI > Vol. 3 > Iss. 4 (2014)

International Journal of Computer Science and Informatics

Article Title

FUZZY SET APPROACHES TO DATA MINING OF ASSOCIATION RULE

Authors

SHIVANGI SENGAR, IITM, GwaliorFollow
SAKSHI PRIYA, IITM, GwaliorFollow
URVASHI KHATUJA, IITM, GwaliorFollow

Abstract

Data mining on large databases has been a major concern in research community due to the difficulty of analyzing huge volume of data. This paper focuses on the large set area i.e. on fuzzy sets and knowledge discovery of data. Association rules* provide information in accessing significant correlations in large databases. We have combined an extended techniques developed in both fuzzy data mining and knowledge discovery model in order to deal with the uncertainty found in typical data.

Recommended Citation

SENGAR, SHIVANGI; PRIYA, SAKSHI; and KHATUJA, URVASHI (2014) "FUZZY SET APPROACHES TO DATA MINING OF ASSOCIATION RULE," International Journal of Computer Science and Informatics: Vol. 3 : Iss. 4 , Article 3.
Available at: https://www.interscience.in/ijcsi/vol3/iss4/3

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