There is a wealth of information stored in each organization's operational data store, with an increasing demand to mine that data and use it for competitive advantage. Data Mining/Business Intelligence enables organizations to move from merely good to great by supporting better business decision making. Course participants will gain an understanding of the principles of data mining and the various techniques and algorithms through classroom instructions and by conducting a research paper in data mining / business intelligence technology. Through participation in a group project, students are exposed to hands-on experience of designing and using a data mining tool to consolidate their learning experience. Some of the Data Mining predictive and inference techniques learned in the course can apply to Big Data and Data Science. The course is divided into three main components: (1) Understanding of knowledge discovery, business intelligence, data mining concepts, techniques, selected algorithms and associated applications, as well as overview of the underlying large data storage architecture such as data warehouse and data mart; (2) Participation in a group project in design and building a model using a business intelligence data mining tool; (3) Conduct an individual research paper on a data mining algorithm and/or tool for a business application.
Upon successful completion of this course, the student will be able to:
Effective as of Fall 2018
COMP 7611 is offered as a part of the following programs:
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