Market Basket Analysis Task: Difference between revisions
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A [[Market Basket Analysis Task]] is a [[affinity analysis task]] that ... | |||
* <B>Context:</B> | |||
** It can be solved by a [[Market Basket Analysis System]] (that implements a [[market basket analysis algorithm]]). | |||
* <B>See:</B> [[Discounts And Allowances]], [[Cross-Selling]], [[Up-Selling]], [[Sales Promotion]], [[Apriori Algorithm]]; [[Association Rule]]; [[Frequent Itemset]]; [[Frequent Pattern]]. | |||
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==References== | |||
=== 2017 === | |||
* (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Affinity_analysis Retrieved:2017-12-1. | |||
** '''Affinity analysis''' is a [[data analysis]] and [[data mining]] technique that discovers co-occurrence relationships among activities performed by (or recorded about) specific individuals or groups. In general, this can be applied to any process where agents can be [[unique identifier|uniquely identified]] and information about their activities can be recorded. In retail, affinity analysis is used to perform '''market basket analysis''', in which retailers seek to understand the purchase behavior of customers. This information can then be used for purposes of [[cross-selling]] and [[up-selling]], in addition to influencing [[sales promotion]]s, loyalty programs, store design, and [[Discounts and allowances|discount plans]].<ref name="demystifyingmba"></ref> | |||
<references/> | |||
=== 2011=== | |||
* ([[Toivonen, 2011c]]) ⇒ Hannu Toivonen. (2011). "Basket Analysis." In: ([[Sammut & Webb, 2011]]) p.74 | |||
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[[Category:Concept]] | |||
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Revision as of 02:41, 1 December 2017
A Market Basket Analysis Task is a affinity analysis task that ...
- Context:
- It can be solved by a Market Basket Analysis System (that implements a market basket analysis algorithm).
- See: Discounts And Allowances, Cross-Selling, Up-Selling, Sales Promotion, Apriori Algorithm; Association Rule; Frequent Itemset; Frequent Pattern.
References
2017
- (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Affinity_analysis Retrieved:2017-12-1.
- Affinity analysis is a data analysis and data mining technique that discovers co-occurrence relationships among activities performed by (or recorded about) specific individuals or groups. In general, this can be applied to any process where agents can be uniquely identified and information about their activities can be recorded. In retail, affinity analysis is used to perform market basket analysis, in which retailers seek to understand the purchase behavior of customers. This information can then be used for purposes of cross-selling and up-selling, in addition to influencing sales promotions, loyalty programs, store design, and discount plans.[1]
- ↑ Cite error: Invalid
<ref>
tag; no text was provided for refs nameddemystifyingmba
2011
- (Toivonen, 2011c) ⇒ Hannu Toivonen. (2011). "Basket Analysis." In: (Sammut & Webb, 2011) p.74