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|STAT 529 - Current Issues in Data Mining|
Current Issues in Data Mining
Prereq.: Admission to the M.S. Data Mining program or
permission of department chair.
Topics depending on interest and qualifications of the
students will be chosen from recent developments in data
mining, including statistical pattern recognition,
statistical natural language processing, bioinformatics,
text mining, and analytical CRM. Use of statistical and data
mining software. May be repeated under different topics to a
maximum of 9 credits.
Migration and Attrition. Extensive use of SPSS' Clementine
data mining software is required.
3.000 Credit hours
3.000 Lecture hours
Schedule Types: Independent Study, Lecture, Online Instruction
Must be enrolled in one of the following Programs:
Data Mining - MS
Must be enrolled in one of the following Levels:
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