Data mining is the efficient discovery of useful patterns in large datasets and is a key area in big data analytics. This course focuses on fundamental data mining tasks and algorithms as well as key applications. Topics include data processing, classification techniques, cluster analysis and outlier detection. Prerequisite: CMPT 354 and STAT 271. Students with credit for CMPT 459 under the title "Data Mining" may not take this course for further credit.
Data mining is the efficient discovery of useful patterns in large datasets and is a key area in big data analytics. This course focuses on fundamental data mining tasks and algorithms as well as key applications. Topics include data processing, classification techniques, cluster analysis and outlier detection. Prerequisite: CMPT 354 and STAT 271. Students with credit for CMPT 459 under the title "Data Mining" may not take this course for further credit.
