8/6/25, 10:26 PM DTSA 5504 - Data Mining Pipeline EXAM QUESTIONS WITH COMPLETE SOLUTION GUIDE (A+ GRADED 100% VERIFIED) LA…
DTSA 5504 - Data Mining Pipeline EXAM
QUESTIONS WITH COMPLETE SOLUTION GUIDE
(A+ GRADED 100% VERIFIED) LATEST VERSION
2025!!
Save
Terms in this set (113)
Explosive data growth (in KB, MB, GB,TB, PB, EB, and
Why Data Mining?
ZB)
Knowledge discovery from data (Extraction of
What is data mining? interesting patterns or knowledge from huge amounts
of data.)
Benefits of data mining Scalability and efficiency
The four views of data Data, Application, Knowledge, Technique
mining
What are the 5Vs of Data Volume, Variety, Velocity, Veracity, Value
Mining?
Relational, transactional E.g., student records, bank accounts, store purchases
data (Data View)
Sequential, temporal, E.g., gene sequences, stock prices, sensor readings
streaming data (Data
View)
Spatial, spatial-temporal E.g., land use, bird migration, traffic condition
data (Data View)
https://quizlet.com/1064302937/dtsa-5504-data-mining-pipeline-exam-questions-with-complete-solution-guide-a-graded-100-verified-latest-version-202… 1/9
, 8/6/25, 10:26 PM DTSA 5504 - Data Mining Pipeline EXAM QUESTIONS WITH COMPLETE SOLUTION GUIDE (A+ GRADED 100% VERIFIED) LA…
Text, multimedia, Web E.g., news articles, audio/video/image data, hypertext
data (Data View)
Graph, network data (Data E.g., social network, power grid, co-authorship
View)
Market Analysis, target E.g., customer profiling, product recommendation
advertisement
(Application View)
Healthcare, medical E.g., disease diagnosis, patient care, drug discovery
research (Application
View)
Science and engineering E.g., air pollution, marine life, electric vehicles
(Application View)
Security (Application E.g., surveillance, intrusion/crime, fraud, cyberattack
View)
Government, nonprofit E.g., urban planning, traffic control, education
(Application View)
Frequent pattern , E.g., Songs listened together or in certain sequence
correlation (Knowledge
View)
Categorization E.g., Similarity among user with certain purchases,
(Knowledge View) differences between two patient groups
Anomaly, outliers E.g., sensor errors, fraud activities, extreme events
(Knowledge View)
Changes over time E.g., emerging new patterns, shift of user interest
(Knowledge View)
What are the five different Frequent pattern analysis, classification/prediction,
techniques for data clustering, anomaly detection, trend and evolution
mining? analysis
Includes frequent itemset, frequent sequence,
Frequent Pattern Analysis frequent structure, association rules, correlation
analysis
https://quizlet.com/1064302937/dtsa-5504-data-mining-pipeline-exam-questions-with-complete-solution-guide-a-graded-100-verified-latest-version-202… 2/9
DTSA 5504 - Data Mining Pipeline EXAM
QUESTIONS WITH COMPLETE SOLUTION GUIDE
(A+ GRADED 100% VERIFIED) LATEST VERSION
2025!!
Save
Terms in this set (113)
Explosive data growth (in KB, MB, GB,TB, PB, EB, and
Why Data Mining?
ZB)
Knowledge discovery from data (Extraction of
What is data mining? interesting patterns or knowledge from huge amounts
of data.)
Benefits of data mining Scalability and efficiency
The four views of data Data, Application, Knowledge, Technique
mining
What are the 5Vs of Data Volume, Variety, Velocity, Veracity, Value
Mining?
Relational, transactional E.g., student records, bank accounts, store purchases
data (Data View)
Sequential, temporal, E.g., gene sequences, stock prices, sensor readings
streaming data (Data
View)
Spatial, spatial-temporal E.g., land use, bird migration, traffic condition
data (Data View)
https://quizlet.com/1064302937/dtsa-5504-data-mining-pipeline-exam-questions-with-complete-solution-guide-a-graded-100-verified-latest-version-202… 1/9
, 8/6/25, 10:26 PM DTSA 5504 - Data Mining Pipeline EXAM QUESTIONS WITH COMPLETE SOLUTION GUIDE (A+ GRADED 100% VERIFIED) LA…
Text, multimedia, Web E.g., news articles, audio/video/image data, hypertext
data (Data View)
Graph, network data (Data E.g., social network, power grid, co-authorship
View)
Market Analysis, target E.g., customer profiling, product recommendation
advertisement
(Application View)
Healthcare, medical E.g., disease diagnosis, patient care, drug discovery
research (Application
View)
Science and engineering E.g., air pollution, marine life, electric vehicles
(Application View)
Security (Application E.g., surveillance, intrusion/crime, fraud, cyberattack
View)
Government, nonprofit E.g., urban planning, traffic control, education
(Application View)
Frequent pattern , E.g., Songs listened together or in certain sequence
correlation (Knowledge
View)
Categorization E.g., Similarity among user with certain purchases,
(Knowledge View) differences between two patient groups
Anomaly, outliers E.g., sensor errors, fraud activities, extreme events
(Knowledge View)
Changes over time E.g., emerging new patterns, shift of user interest
(Knowledge View)
What are the five different Frequent pattern analysis, classification/prediction,
techniques for data clustering, anomaly detection, trend and evolution
mining? analysis
Includes frequent itemset, frequent sequence,
Frequent Pattern Analysis frequent structure, association rules, correlation
analysis
https://quizlet.com/1064302937/dtsa-5504-data-mining-pipeline-exam-questions-with-complete-solution-guide-a-graded-100-verified-latest-version-202… 2/9
