WPC 300 MIDTERM 1 QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTION.
Heuristic Answer - Learns by acting, uses trial and error, values experiences,
relies on common sense, seeks satisfying solutions
Analytic Answer - Learns by analyzing, uses step by step procedure, values
quantitative and models, builds mathematical models, seeks optimal solution
Data extraction Answer - Extract data from primary/secondary source
Data transformation Answer - Transform/clean data into proper format or
structure for the purpose of querying and analysis
Data load Answer - Load data into final target database, more specifically as
operational data store, data mart or data warehouse
Descriptive Modeling Answer - Basic plots of variables
Find patterns in data
Descriptive statistics
Correlations
Outliers
Sampling
, Some data mining techniques - clustering
Explanatory modeling Answer - Develop model to understand a (causal)
relationship
Predictive analysis Answer - Linear regression
Data mining
Classification
Decision tree
Association rule (market basket analysis)
Text mining
Simulation
Problem Framing Answer - Tell an interesting and complete story, find an
appropriate solution framework, routinize the procedure
Agile Answer - Empirical process control
Waterfall Answer - Defined process control
Hypothesis Answer - Educated Guess
Data Answer - Discrete, unorganized, raw facts
Information Answer - the transformation of those facts into meaning
COMPLETE SOLUTION.
Heuristic Answer - Learns by acting, uses trial and error, values experiences,
relies on common sense, seeks satisfying solutions
Analytic Answer - Learns by analyzing, uses step by step procedure, values
quantitative and models, builds mathematical models, seeks optimal solution
Data extraction Answer - Extract data from primary/secondary source
Data transformation Answer - Transform/clean data into proper format or
structure for the purpose of querying and analysis
Data load Answer - Load data into final target database, more specifically as
operational data store, data mart or data warehouse
Descriptive Modeling Answer - Basic plots of variables
Find patterns in data
Descriptive statistics
Correlations
Outliers
Sampling
, Some data mining techniques - clustering
Explanatory modeling Answer - Develop model to understand a (causal)
relationship
Predictive analysis Answer - Linear regression
Data mining
Classification
Decision tree
Association rule (market basket analysis)
Text mining
Simulation
Problem Framing Answer - Tell an interesting and complete story, find an
appropriate solution framework, routinize the procedure
Agile Answer - Empirical process control
Waterfall Answer - Defined process control
Hypothesis Answer - Educated Guess
Data Answer - Discrete, unorganized, raw facts
Information Answer - the transformation of those facts into meaning
