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Survey Paper | Computer Science Engineering | Volume 4 Issue 6, June 2015 | Pages: 99 - 101 | India
A Study on Techniques for Extracting Rare Itemsets
Abstract: Itemset mining is an elementary data mining approach predominantly used for exploring interrelations among data. Frequent itemset mining exhibit interrelations frequently containing in data in which each of the items in the database consists of distinct weights. Mining infrequent itemsets are more intriguing and are used to attenuate cost function. Infrequent pattern mining is a challenging venture because there is a huge number of such patterns that can be derived from a given dataset. This paper concentrates on distinct techniques used for mining infrequent itemsets.
Keywords: Data Mning, Association rules, Frequent itemsets, Rare itemsets
How to Cite?: B. Kiruthika, S. Nithya Roopa, "A Study on Techniques for Extracting Rare Itemsets", Volume 4 Issue 6, June 2015, International Journal of Science and Research (IJSR), Pages: 99-101, https://www.ijsr.net/getabstract.php?paperid=SUB155075, DOI: https://dx.doi.org/10.21275/SUB155075