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After reviewing this week’s readings and videos regarding association rule usage, consider the business uses and applications of this form of data mining. Select an industry such as finance, healthcare, environmental studies, or engineering and research different methods in which the association rule may be applied. Address how business leaders may use information drawn from association rule data mining to inform business decisions. Submit your work in a 4-5 page,

User Jnv
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Final answer:

Association rules can be applied in various industries such as finance, healthcare, and environmental studies. Business leaders can use information drawn from association rule data mining to inform their decisions.

Step-by-step explanation:

Association rules, a form of data mining, can be applied in various industries such as finance, healthcare, environmental studies, and engineering. In finance, association rules can be used to identify patterns in credit card transactions and detect fraudulent activities. In healthcare, association rules can help to identify correlations between certain symptoms and diseases, leading to more accurate diagnoses. In environmental studies, association rules can be used to analyze the impact of different factors on ecosystems and biodiversity.Business leaders can use information drawn from association rule data mining to inform their decisions. For example, in finance, if a certain combination of products or services is frequently purchased together, it can inform the development of targeted marketing campaigns or bundled offers. In healthcare, if certain symptoms often co-occur with a particular disease, it can guide the development of screening protocols or treatment plans. In environmental studies, if certain factors are found to be strongly associated with changes in biodiversity, it can help inform conservation efforts.

User RexE
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