©BRAINBARTER 2024/2025
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
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
