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AN 300 Exam 2 UPDATED QUESTIONS AND CORRECT ANSWERS

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AN 300 Exam 2 UPDATED QUESTIONS AND CORRECT ANSWERS Descriptive Analysis - CORRECT ANSWER *"What has happened" * Techniques: *Data Mining* Tools: *JMP PRO* Application: -Summarize financial performances -Summarize purchasing behavior Cluster Analysis is.. - CORRECT ANSWER -Objects within a group is similar -Objects across groups is dissimilar Question: Used to discover *natural grouping* of objects Cluster Analysis problem definition: - CORRECT ANSWER -Find the # of groups and group memberships Organize objects into groups -Maximize similarities of objects within a group -Minimize similarities of objects between groups Cluster Analysis similarity measures... - CORRECT ANSWER numerical data -Straight line -Standardization Matching coefficient for categorical data Giving data on objects of interest Euclidean distance for "Number of columns within matching values/ total number of columns" 1. Market segmentation- Cluster Analysis Business Applications: - CORRECT ANSWER *target* marketing 2. Personalization- *financial* advising 3. Quality control- *outlier detection*

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AN 300 Exam 2 UPDATED QUESTIONS
AND CORRECT ANSWERS
Descriptive Analysis - CORRECT ANSWER Question:

*"What has happened" *

Techniques:

*Data Mining*

Tools:

*JMP PRO*

Application:

-Summarize financial performances

-Summarize purchasing behavior



Cluster Analysis is.. - CORRECT ANSWER Used to discover *natural grouping* of objects

-Objects within a group is similar

-Objects across groups is dissimilar



Cluster Analysis problem definition: - CORRECT ANSWER Giving data on objects of interest

->Find the # of groups and group memberships

Organize objects into groups

-Maximize similarities of objects within a group

-Minimize similarities of objects between groups



Cluster Analysis similarity measures... - CORRECT ANSWER Euclidean distance for
numerical data

-Straight line

-Standardization



Matching coefficient for categorical data

"Number of columns within matching values/ total number of columns"

, Cluster Analysis Business Applications: - CORRECT ANSWER 1. Market segmentation-
*target* marketing

2. Personalization- *financial* advising

3. Quality control- *outlier detection*



Cluster Analysis methods evaluation: - CORRECT ANSWER Cubic Clustering Criterion
(CCC)

-CCC>2: *good fit*

-0<=CCC <= 2: *possible fit*

-CCC~-30: *presence of outliers*



Association Rule is: - CORRECT ANSWER used to discover *nontrivial "what goes with
what" connections* among groups of items in distinct events or transactions.



Association Rule problem definition - CORRECT ANSWER Given data on the co-occurrences
of items of interest

-> Find the likelihood of the co-occurrences of these items

Express as IF-THEN statements:

-IF item-set: *condition*

-THEN item-set: *Consequent*



Association Rile evaluation - CORRECT ANSWER -Support: Proportion of occurrence

-A high value -> high frequency of occurrence

-Support (X->Y)= (# of events including both X and Y)/(Total # of events)



Cont'd - CORRECT ANSWER Confidence- accuracy

-A high value-> THEN item-set occurs frequently with the IF item-set

-Confidence (X->Y)= (#of events including X and Y) / (# of events including only X)



Cont'd - CORRECT ANSWER Lift-strength over random guesses

-*Greater than 1 -> better than guessing*

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