DSCI 4520 EXAM REVIEW QUESTIONS
AND CORRECT ANSWERS
Market Analysis and Management: Data sources for analysis ✅✅CORRECT ANSW-Credit card
transactions, loyalty cards, discount coupons, customer complaint calls, plus (public) lifestyle studies.
Market Analysis and Management: Target Marketing ✅✅CORRECT ANSW-Finds clusters of
"model" customers who share the same characteristics: interest, income level, spending habits, etc.
Market Analysis and Management: Cross-Market Analysis ✅✅CORRECT ANSW--Seeks
associations/co-relationships between product sales
-Predictions based on association information
Market Analysis and Management: Customer Profiling ✅✅CORRECT ANSW-Using data mining to
reveal what types of customers buy what products (clustering classification)
Corporate Analysis and Risk Management ✅✅CORRECT ANSW-Finance planning and asset
evaluation, Resource planning, & Competition are all included in ______ ____ and ____ _______. An
sector where data mining is a very valuable resource.
Knowledge Discovery in Databases ✅✅CORRECT ANSW-The acronym "KDD" stands for what?
Sample, Explore, Modify, Model, Assess ✅✅CORRECT ANSW-The acronym "SEMMA" stands for
what?
Data Mining (knowledge discovery in databases) ✅✅CORRECT ANSW--A process of identifying
hidden patterns and relationships within data,
-Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) info or
patterns from data in large databases.
, Data explosion problem ✅✅CORRECT ANSW-The tremendous amounts of data stored in
databases, data warehouses and other info repositories that arises from Automated data collection
tools and mature database technology.
Required expertise for Data mining ✅✅CORRECT ANSW--Domain
-Data
-Analytical Methods
Data mining: Info technology (IT) ✅✅CORRECT ANSW-Complicated database queries
Data mining: Machine Learning (ML) ✅✅CORRECT ANSW-Inductive learning from examples
Market analysis and management
Risk analysis and management
Fraud detection and management ✅✅CORRECT ANSW-Data mining Potential Applications in
Database analysis and decision support include ______, _____, & _______.
Data mining: Statistics (Stats) ✅✅CORRECT ANSW-What we were taught not to do
Sample ✅✅CORRECT ANSW-Input Data Source, Sampling, & Data Partition are what type of nodes
in SEMMA?
Explore ✅✅CORRECT ANSW-Distribution Explorer, Association, Multiplot, Variable Selection,
Insight, & Link Analysis are what type of nodes in SEMMA?
Modify ✅✅CORRECT ANSW-Data Set Attributes, Clustering, Transform Variables, Self-Organized
Maps Kohonen Networks, Filter Outliers, Time Series, & Replacement are what type of nodes in
SEMMA?
Model ✅✅CORRECT ANSW-Regression, User Defined Model, Tree, Ensemble, Neural Network,
Memory Based Reasoning, Princomp/Dmneural, & Two-Stage Model are what type of nodes in
SEMMA?
Assess ✅✅CORRECT ANSW-Assesment, & Reporter are what type of nodes in SEMMA?
AND CORRECT ANSWERS
Market Analysis and Management: Data sources for analysis ✅✅CORRECT ANSW-Credit card
transactions, loyalty cards, discount coupons, customer complaint calls, plus (public) lifestyle studies.
Market Analysis and Management: Target Marketing ✅✅CORRECT ANSW-Finds clusters of
"model" customers who share the same characteristics: interest, income level, spending habits, etc.
Market Analysis and Management: Cross-Market Analysis ✅✅CORRECT ANSW--Seeks
associations/co-relationships between product sales
-Predictions based on association information
Market Analysis and Management: Customer Profiling ✅✅CORRECT ANSW-Using data mining to
reveal what types of customers buy what products (clustering classification)
Corporate Analysis and Risk Management ✅✅CORRECT ANSW-Finance planning and asset
evaluation, Resource planning, & Competition are all included in ______ ____ and ____ _______. An
sector where data mining is a very valuable resource.
Knowledge Discovery in Databases ✅✅CORRECT ANSW-The acronym "KDD" stands for what?
Sample, Explore, Modify, Model, Assess ✅✅CORRECT ANSW-The acronym "SEMMA" stands for
what?
Data Mining (knowledge discovery in databases) ✅✅CORRECT ANSW--A process of identifying
hidden patterns and relationships within data,
-Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) info or
patterns from data in large databases.
, Data explosion problem ✅✅CORRECT ANSW-The tremendous amounts of data stored in
databases, data warehouses and other info repositories that arises from Automated data collection
tools and mature database technology.
Required expertise for Data mining ✅✅CORRECT ANSW--Domain
-Data
-Analytical Methods
Data mining: Info technology (IT) ✅✅CORRECT ANSW-Complicated database queries
Data mining: Machine Learning (ML) ✅✅CORRECT ANSW-Inductive learning from examples
Market analysis and management
Risk analysis and management
Fraud detection and management ✅✅CORRECT ANSW-Data mining Potential Applications in
Database analysis and decision support include ______, _____, & _______.
Data mining: Statistics (Stats) ✅✅CORRECT ANSW-What we were taught not to do
Sample ✅✅CORRECT ANSW-Input Data Source, Sampling, & Data Partition are what type of nodes
in SEMMA?
Explore ✅✅CORRECT ANSW-Distribution Explorer, Association, Multiplot, Variable Selection,
Insight, & Link Analysis are what type of nodes in SEMMA?
Modify ✅✅CORRECT ANSW-Data Set Attributes, Clustering, Transform Variables, Self-Organized
Maps Kohonen Networks, Filter Outliers, Time Series, & Replacement are what type of nodes in
SEMMA?
Model ✅✅CORRECT ANSW-Regression, User Defined Model, Tree, Ensemble, Neural Network,
Memory Based Reasoning, Princomp/Dmneural, & Two-Stage Model are what type of nodes in
SEMMA?
Assess ✅✅CORRECT ANSW-Assesment, & Reporter are what type of nodes in SEMMA?
