Extracting useful knowledge from event logs: A frequent itemset mining approach
نویسندگان
چکیده
منابع مشابه
A Combined Approach for Mining Fuzzy Frequent Itemset
Frequent Itemset Mining is an important approach for Market Basket Analysis. Earlier, the frequent itemsets are determined based on the customer transactions of binary data. Recently, fuzzy data are used to determine the frequent itemsets because it provides the nature of frequent itemset ie. , it describes whether the frequent itemset consists of only highly purchased items or medium purchased...
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the performance of a depth-first Frequent Itemset Miming (FIM) algorithm is closely related to the total number of recursions which can be modeled as O(n), where k is the maximal recursion depth and n is the branching factor. Many existing approaches focus more on improving support counting rather than on decreasing n and k, which may lead to unsatisfactory performance as they grow. In this pap...
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the performance of a depth-first Frequent Itemset Miming (FIM) algorithm is closely related to the total number of recursions which can be modeled as O(n), where k is the maximal recursion depth and n is the branching factor. Many existing approaches focus more on improving support counting rather than on decreasing n and k, which may lead to unsatisfactory performance as they grow. In this pap...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2018
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2017.10.016