Mar 28, 2024  
2017-2018 Graduate Catalog 
    
2017-2018 Graduate Catalog [ARCHIVED CATALOG]

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CSCI 542 - Data Mining


(3 hours) This course examines the use of database systems for knowledge discovery or data mining. Data mining refers to the ‘mining’ or discovery of information in terms of patterns or rules, generally over vast amounts of data. In this course we will cover the statistical underpinnings of data mining, including clustering, association rules, and classification rules. We will also look at Bayesian techniques, neural networks, and genetic algorithms. This knowledge will be applied to several data sets. Students will also participate in a semester long project involving the application of data mining, using either R Code or the SAS software package. In addition to the topics listed above, students enrolled in the graduate section of this course will supplement their instruction by conducting research in the field and presenting their findings to the class. Each student shall present to the class (via web video) three times during the course of the semester. Two of these topics shall be assigned to the student and one shall be left to the discretion of the student. Note: Students with credit for CSCI 442 may not take CSCI 542.



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