C S 5710 - Data Mining and Knowledge Discovery in Scientific Data (3)

When Offered: Fall, Even-numbered years.
Large quantities of data are collected in different studies and/or experiments in science, engineering, business, and medicine. The data contain significant amounts of useful information or knowledge that is often hard to discover without computational tools and techniques. This course focuses on techniques used in data mining tasks such as classification, association rule mining, clustering, and numerical prediction. The approach utilizes visualization, statistics, and neural networks. The goal is to study data mining as a means to achieve knowledge discovery in databases.
Prerequisites: CS 1440 (Computer Science I) and Statistics.

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