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.
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.
