Cornell Engineering

Data Mining

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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.

Research Area Faculty

	Name	Department	Contact
	Kallus, Nathan Assistant Professor	Operations Research and Information Engineering	Cornell Tech in New York City
	Ruppert, David Andrew Schultz Jr. Professor of Engineering and Professor of Statistical Science	Operations Research and Information Engineering, Information Science, Statistical Science	1170 Comstock Hall 607 255-0845