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CS 490CR - Foundations and Applications in Data Mining
Foundations and applications of data mining. Topics include one or more of the following: data preparation and transformation, review of relevant quantitive methods, data characterization, generalization, classification and prediction, clustering, association, on-line analytical processing, data warehousing, data analysis, model development, interpretation. *Prerequisite: CS320 and CS340, or written permission of instructor is required to register. * 3.000 Credit hours 0.000 TO 3.000 Lecture hours 0.000 TO 3.000 Other hours Levels: Undergraduate Schedule Types: Lecture, Directed Reading, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate

CS 490CR - Foundations and Applications in Data Mining

Foundations and applications of data mining. Topics include one or more of the following: data preparation and transformation, review of relevant quantitive methods, data characterization, generalization, classification and prediction, clustering, association, on-line analytical processing, data warehousing, data analysis, model development, interpretation. ***Prerequisite: CS320 and CS340, or written permission of instructor is required to register. ***
3.000 Credit hours
0.000 TO 3.000 Lecture hours
0.000 TO 3.000 Other hours

Levels: Undergraduate
Schedule Types: Lecture, Directed Reading, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:
Undergraduate
Graduate

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Detailed Course Information

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