BUSIT 115 - Data Mining I

5 CR

Introduces the computer-assisted process of evaluating enormous sets of data to find previously undiscovered patterns, draw conclusions and then make decisions based on these patterns. Concepts are introduced and hands-on exercises used to apply the concepts using current software tools.

Prerequisite(s): BUSIT 105 with a C or better.

Course Outcomes

Describe the role of data mining in an organization.
Describe the nature of both supervised and unsupervised learning.
Use Data Mining software to develop and apply data mining models.
Create, evaluate and apply Decision Tree models, then describe scenarios in which their use would be appropriate.
Create, evaluate and apply Unsupervised Clustering models, then describe scenarios in which their use would be appropriate.
Create, evaluate and apply Market Basket models, then describe scenarios in which their use would be appropriate.
Create, evaluate and apply basic time series models, then describe scenarios in which their use would be appropriate.
Describe ethical issues surrounding the use of data mining.

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