A Survey of Cyclic Association Rule

  Kaushal K Patel

Recently, the major problems of major companies how to mine effective data from their datasourses, and they also want fast retrieval of datasets, therefore it is big area for researcher to researching new technique. so many researchers are try to find and develop new methods or new techniques for finding fast retrieval itemsets or generate new datasets. In datamining there are many techniques for mine effective data from datasourses, the techniques like classification,association,generalization,regression,clustering,etc. Among them I am try to focusing on cyclic association rule mining ,which cyclic association rule is classified as a category of the temporal association rules, and temporal association rule classified as a category of association rule. cyclic association rule have been introduced in order to discover rules from items that characterized by their regular variation over time or cyclic in nature. There are lots of algorithm for generating rules that the algorithm can yield significant performance benefits when compared to other algorithms and also provide predication that benefit to take decisions on bases of predication. So in this survey paper I am representing the comparison of different algorithms which are introduced by various authors during some past years.

Keywords- Association Rule, Data set, Cyclic Association Rule, Generalization, Regression, Clustering

Unique Identification Number - IJEDR1501083
Page Number(s) - 453-458
Pubished in - Volume 3 | Issue 1 | Jan 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Kaushal K Patel,   "A Survey of Cyclic Association Rule", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 1, pp.453-458, Jan 2015, Available at :http://www.ijedr.org/papers/IJEDR1501083.pdf