Comparative Study of Different Clustering Algorithms for Association Rule Mining

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Provided by: International Journal of Computer Science & Engineering Technology (IJCSET)
Topic: Data Management
Format: PDF
In data mining, association rule mining is an important research area in today's scenario. Various association rule mining can find interesting associations and correlation relationship among a large set of data items. To find association rules for single dimensional database apriori algorithm is appropriate. For large databases lots of candidate sets are generated. Thus apriori algorithm is not efficient for large databases. The authors need some extension in the existing apriori algorithm so that it can also work for large multidimensional database or quantitative database.
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