How Many Number Of Association Rules Are Possible According To This Basket Data? The total number of possible rules, R, extracted from a data set that contains d items is: R = 3d − 2d+1 + 1 There are d = 6 items in the table( Beer, Bread, Butter, Cookies, Diapers and Milk). Thus: R
What Are Maximal Frequent Itemset? By definition, An itemset is maximal frequent if none of its immediate supersets is frequent. An itemset is closed if none of its immediate supersets has the same support as the itemset . What is a frequent itemset? Frequent itemsets (Agrawal et al., 1993, 1996) are a form of frequent
What Is Frequent Itemset In Big Data? Frequent Itemset Mining (FIM) is one of the most well known techniques to extract knowledge from data. The combinatorial explosion of FIM methods become even more problematic when they are applied to Big Data. What is frequent itemset in data mining? Definition. Frequent itemsets (Agrawal et al., 1993,