15.062 -- Data Mining: Finding the Data and Models That Create Value
Course Description: Introducion to a class of methods known as data mining or machine learning that assist managers in recognizing patterns and making intelligent use of massive amounts of electronic data collected via the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Topics selected from logistic regression; association rules; tree-structured classification and regression; cluster analysis; discriminant analysis; and neural network methods. Examples of successful applications in areas such as credit ratings, fraud detection, database marketing, customer relationship management, investments, and logistics are covered. Introduction to data-mining software. Half-term subject.

This class is at the Graduate level
An example of a syllabus: 15062_Spring_2008.pdf
Instructor: R. Welsch
Prerequisites: 15.060, 15.074, or 15.075

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