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COMP 300: Data Warehousing & Data Mining

Credit Hours
3
Prerequisites
COMP 170
Description
Data warehousing and Data mining are two major areas of exploration for knowledge discovery in databases. These topics have gained great relevance especially in the 1990’s with the web data growing at an exponential rate. As more data is collected by businesses and scientific institutions alike, knowledge exploration techniques are needed to gain useful business intelligence. This course is conceived to cover a wide spectrum of industry standard techniques using widely available database and tools packages for knowledge discovery. The course teaches high volume data processing mechanisms by first building warehouse schemas such as snowflake, and star. Then OLAP query retrieval techniques are introduced. Data mining is for relatively unstructured data for which more sophisticated techniques are needed. The course aims to cover powerful data mining techniques including clustering, association rules, and classification.
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