Project Title: Data Mining

• Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. In this project students will attempt to design Data Mining Algorithms that can be used to extract important information from Raw Data that is Unbalanced, with high dimensionality for multi-class systems.
• Typical Applications:
  1. Bussiness.
  2. Medical Applications.
  3. Science and Engineering.
• Resources:
  1. Data Mining (Wikipedia)
  2. Data Mining: An Overview.
  3. Introduction to Data Mining.
  4. Top 10 algorithms in data mining.
• Faculty advisor(s): Shawki Areibi
• Students:

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This page is maintained by Shawki Areibi, sareibi@uoguelph.ca
Last modified Sept. 2019