DTSA 5504 - Data Mining Pipeline EXAM
QUESTIONS WITH COMPLETE SOLUTION
GUIDE (A+ GRADED 100% VERIFIED)
LATEST VERSION 2026!!
Why Data Mining? -CORRECTANSWER Explosive data growth (in KB, MB, GB,TB,
PB, EB, and ZB)
What is data mining? -CORRECTANSWER Knowledge discovery from data (Extraction
of interesting patterns or knowledge from huge amounts of data.)
Benefits of data mining -CORRECTANSWER Scalability and efficiency
The four views of data mining -CORRECTANSWER Data, Application, Knowledge,
Technique
What are the 5Vs of Data Mining? -CORRECTANSWER Volume, Variety, Velocity,
Veracity, Value
Relational, transactional data (Data View) -CORRECTANSWER E.g., student records,
bank accounts, store purchases
,Sequential, temporal, streaming data (Data View) -CORRECTANSWER E.g., gene
sequences, stock prices, sensor readings
Spatial, spatial-temporal data (Data View) -CORRECTANSWER E.g., land use, bird
migration, traffic condition
Text, multimedia, Web data (Data View) -CORRECTANSWER E.g., news articles,
audio/video/image data, hypertext
Graph, network data (Data View) -CORRECTANSWER E.g., social network, power
grid, co-authorship
Market Analysis, target advertisement (Application View) -CORRECTANSWER E.g.,
customer profiling, product recommendation
Healthcare, medical research (Application View) -CORRECTANSWER E.g., disease
diagnosis, patient care, drug discovery
Science and engineering (Application View) -CORRECTANSWER E.g., air pollution,
marine life, electric vehicles
Security (Application View) -CORRECTANSWER E.g., surveillance, intrusion/crime,
fraud, cyberattack
, Government, nonprofit (Application View) -CORRECTANSWER E.g., urban planning,
traffic control, education
Frequent pattern , correlation (Knowledge View) -CORRECTANSWER E.g., Songs
listened together or in certain sequence
Categorization (Knowledge View) -CORRECTANSWER E.g., Similarity among user
with certain purchases, differences between two patient groups
Anomaly, outliers (Knowledge View) -CORRECTANSWER E.g., sensor errors, fraud
activities, extreme events
Changes over time (Knowledge View) -CORRECTANSWER E.g., emerging new
patterns, shift of user interest
What are the five different techniques for data mining? -CORRECTANSWER Frequent
pattern analysis, classification/prediction, clustering, anomaly detection, trend and
evolution analysis
Frequent Pattern Analysis -CORRECTANSWER Includes frequent itemset, frequent
sequence, frequent structure, association rules, correlation analysis
QUESTIONS WITH COMPLETE SOLUTION
GUIDE (A+ GRADED 100% VERIFIED)
LATEST VERSION 2026!!
Why Data Mining? -CORRECTANSWER Explosive data growth (in KB, MB, GB,TB,
PB, EB, and ZB)
What is data mining? -CORRECTANSWER Knowledge discovery from data (Extraction
of interesting patterns or knowledge from huge amounts of data.)
Benefits of data mining -CORRECTANSWER Scalability and efficiency
The four views of data mining -CORRECTANSWER Data, Application, Knowledge,
Technique
What are the 5Vs of Data Mining? -CORRECTANSWER Volume, Variety, Velocity,
Veracity, Value
Relational, transactional data (Data View) -CORRECTANSWER E.g., student records,
bank accounts, store purchases
,Sequential, temporal, streaming data (Data View) -CORRECTANSWER E.g., gene
sequences, stock prices, sensor readings
Spatial, spatial-temporal data (Data View) -CORRECTANSWER E.g., land use, bird
migration, traffic condition
Text, multimedia, Web data (Data View) -CORRECTANSWER E.g., news articles,
audio/video/image data, hypertext
Graph, network data (Data View) -CORRECTANSWER E.g., social network, power
grid, co-authorship
Market Analysis, target advertisement (Application View) -CORRECTANSWER E.g.,
customer profiling, product recommendation
Healthcare, medical research (Application View) -CORRECTANSWER E.g., disease
diagnosis, patient care, drug discovery
Science and engineering (Application View) -CORRECTANSWER E.g., air pollution,
marine life, electric vehicles
Security (Application View) -CORRECTANSWER E.g., surveillance, intrusion/crime,
fraud, cyberattack
, Government, nonprofit (Application View) -CORRECTANSWER E.g., urban planning,
traffic control, education
Frequent pattern , correlation (Knowledge View) -CORRECTANSWER E.g., Songs
listened together or in certain sequence
Categorization (Knowledge View) -CORRECTANSWER E.g., Similarity among user
with certain purchases, differences between two patient groups
Anomaly, outliers (Knowledge View) -CORRECTANSWER E.g., sensor errors, fraud
activities, extreme events
Changes over time (Knowledge View) -CORRECTANSWER E.g., emerging new
patterns, shift of user interest
What are the five different techniques for data mining? -CORRECTANSWER Frequent
pattern analysis, classification/prediction, clustering, anomaly detection, trend and
evolution analysis
Frequent Pattern Analysis -CORRECTANSWER Includes frequent itemset, frequent
sequence, frequent structure, association rules, correlation analysis
