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- W66054523 abstract "In the retail industry, market basket analysis explores the relationship between products by considering the co-occurrence of purchases in previous transactions. Association analysis is a generalization of applications like market basket analysis and is now commonly applied in clickstream analysis, cross-selling recommendation engines, and information security. Association analysis is an unsupervised data mining technique where there is no target variable to predict. Instead, the algorithm reviews each transaction containing a number of items (products) and extracts useful relationship patterns amongst the items in the form of rules. The challenge in association analysis is to differentiate a significant observation against unscrupulous rules. The Apriori and FP Growth algorithms offer efficient approaches to extract these rules from large data sets in the transaction logs." @default.
- W66054523 created "2016-06-24" @default.
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- W66054523 date "2015-01-01" @default.
- W66054523 modified "2023-10-17" @default.
- W66054523 title "Association Analysis" @default.
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- W66054523 doi "https://doi.org/10.1016/b978-0-12-801460-8.00006-9" @default.
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