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2023 Academic Catalog > Courses > BAN - Business Analytics > BAN 583

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Contents
  • Introduction
  • Accreditation
  • Trident Learning Outcomes
  • Admission and Transfer Policies
  • Bachelor to Master Dual Credit Options
  • Tuition, Fees, and Financing
  • Student Information and Procedures
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  • General Policies
  • University College
  • Glenn R. Jones College of Business
  • Glenn R. Jones College of Business, Department of Information Systems
  • College of Education
  • College of Health and Human Services
  • Certificates
  • Courses
    • ACC - Accounting
    • ANT - General Education
    • ART - General Education
    • BAN - Business Analytics
      • BAN 518
      • BAN 583
      • BAN 584
    • BHA - Health Administration
    • BHD - Health Sciences
    • BHE - Health Sciences
    • BHS - Health Sciences
    • BIO - General Education
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    • BUS - Business
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    • MHA - Health Administration
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    • MHE - Health Sciences
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    • MIC - General Education
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    • MKT - Business
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    • NCM - Business
    • OPM - Business
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    • PATH - General Education
    • PBA - Business
    • PED - General Education
    • PHI - General Education
    • POL - General Education
    • PRM - Business
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    • SAF - Safety Management
    • SOC - General Education
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  • Teach-Out
  • Academic Faculty and Staff
  • Teach-Out - Programs, Certificates, and Courses
  • Appendix of Changes
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BAN 583 Data Mining

Data mining extracts knowledge from large amounts of data. This course introduces the concepts, issues, tasks, and techniques of data mining. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining, and data mining applications.

Credits

4