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MIS2502: Exam 3 Study Guide, MIS 2502 FINAl, MIS2502 Final Exam Questions & 100% correct Answers- Latest Test | Graded A+ | Passed
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Explain Clustering, one of the three advanced data analytics techniques we covered in the course Ξ -:- 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 t...

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  • August 27, 2024
  • 15
  • 2024/2025
  • Exam (elaborations)
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  • mis2502 exam 3 study guide mis 2502 final mis2

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E x c e l l e n c e i s k e y | 2 0 2 0 2 5 ~ P a g e |1




MIS2502: Exam 3 Study Guide, MIS 2502
FINAl, MIS2502 Final Exam Questions &
100% correct Answers- Latest Test |
Graded A+ | Passed
Explain Clustering, one of the three advanced data analytics techniques we covered in the course

Ξ -:- 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

Ξ -:- 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

Ξ -:- 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.

Ξ -:- marketing, industry analysis, 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.



26/08/2024 | © Copyright- This work may not be copied for profit.

, E x c e l l e n c e i s k e y | 2 0 2 0 2 5 ~ P a g e |2


Ξ -:- 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.

Ξ -:- problems with correlation. e.g.: amazon's recommendations



Explain how data mining differs from OLAP analysis

Ξ -:- 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?

Ξ -:- data cubes and pivot tables are non volatile, for example, You can't track daily

sales if "date" is

monthly



Explain the difference between R and RStudio

Ξ -:- R has software development

platform and

programming language, open source, free, and has many, many, many

statistical add-ons




RStudio has Integrated

Development

Environment for R, nicer interface that



26/08/2024 | © Copyright- This work may not be copied for profit.

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