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MIS2502: Exam 3 Study Guide Questions With 100% Verified Answers

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MIS2502: Exam 3 Study Guide Questions With 100% Verified Answers Explain Clustering, one of the three advanced data analytics techniques we covered in the course - answerThe process of grouping data so that observations within a group will be similar to one another and observations from differe...

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  • October 1, 2024
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  • 2024/2025
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  • MIS2502
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MIS2502: Exam 3 Study Guide Questions
With 100% Verified Answers


Explain Clustering, one of the three advanced data analytics techniques we covered in the course

- answer✔The process of grouping data so that


observations within a group will be similar to one another and observations from different groups

will be dissimilar

Explain Decision Trees, one of the three advanced data analytics techniques we covered in the

course - answer✔A model to determine membership of cases or values


of a outcome variable based on one or more

predictor variables

Explain Association Rules, one of the three advanced data analytics techniques we covered in the

course - answer✔Find out which items


predict the occurrence of

other items

What kinds of problems can Clustering solve through Data Mining and Advanced Data Analytics

Techniques? Provide a business-oriented example. - answer✔marketing, industry analysis,

, ©BRAINBARTER 2024/2025


political forecasting, biology, finance. e.g.: Walmart's customer segmentation of Value-Price

Shoppers, Brand Aspirationals, and Price-Sensitive Affluents

What kinds of problems can Decision Trees solve through Data Mining and Advanced Data

Analytics Techniques? Provide a business-oriented example. - answer✔problems with multiple

outcomes. e.g.:

banks deciding whether or not to freeze account due to possible fraud

What kinds of problems can Association Rules solve through Data Mining and Advanced Data

Analytics Techniques? Provide a business-oriented example. - answer✔problems with

correlation. e.g.: amazon's recommendations


Explain how data mining differs from OLAP analysis - answer✔OLAP can tell you what is


happening, or what has

happened, while Data mining can tell you

why it is happening, and

help predict what will

happen


Why would you use this instead of a data cube and a pivot table? - answer✔data cubes and pivot

tables are non volatile, for example, You can't track daily sales if "date" is

monthly

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