DTSA 5504 - Data Mining Pipeline 2026 Exam questions with 100% verified answers

DTSA 5504 - Data Mining Pipeline 2026 Exam questions with 100% verified answers Why Data Mining? Explosive data growth (in KB, MB, GB,TB, PB, EB, and ZB) What is data mining? Knowledge discovery from data (Extraction of interesting patterns or knowledge from huge amounts of data.) Benefits of data mining Scalability and efficiency The four views of data mining Data, Application, Knowledge, Technique What are the 5Vs of Data Mining? Volume, Variety, Velocity, Veracity, Value Relational, transactional data (Data View) E.g., student records, bank accounts, store purchases Sequential, temporal, streaming data (Data View) E.g., gene sequences, stock prices, sensor readings Spatial, spatial-temporal data (Data View) E.g., land use, bird migration, traffic condition Text, multimedia, Web data (Data View) E.g., news articles, audio/video/image data, hypertext Graph, network data (Data View) E.g., social network, power grid, co-authorship Market Analysis, target advertisement (Application View) E.g., customer profiling, product recommendation Healthcare, medical research (Application View) E.g., disease diagnosis, patient care, drug discovery Science and engineering (Application View) E.g., air pollution, marine life, electric vehicles Security (Application View) E.g., surveillance, intrusion/crime, fraud, cyberattack Government, nonprofit (Application View) E.g., urban planning, traffic control, education Frequent pattern , correlation (Knowledge View) E.g., Songs listened together or in certain sequence Categorization (Knowledge View)