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Course Description

Data mining, or intelligent analysis of information stored in data sets, has recently gained a substantial interest among practitioners in a variety of fields and industries. This course will introduce the process of knowledge discovery and the basic theory of automatically extracting models from data, validating those models, solving the problems of how to extract valid, useful, and previously unknown interesting patterns from a source (database or web) which contains an overwhelming amount of information. Students will be introduced to various models (decision trees, association rules, linear model, clustering, Bayesian network, neural network) and learn how to apply them in practice. Algorithms applied include searching for patterns in the data, using machine learning, and applying artificial intelligence techniques. Students will learn how to implement several relevant algorithms and use existing tools to mine real-world data.

The syllabus for this course can be found at http://cs.rhodes.edu/welshc/COMP345_F18/syllabus.pdf.

Course Information and Prerequisites

Course Instructor

Schedule

This is a tentative schedule and subject to change as needed.