Foundations of Data Mining
The field of data mining studies algorithms and systems that allow efficient discovery of patterns hidden in data by paying careful attention to the data storage, computing, communication, and human-computer interaction issues. This course is intended to serve as an introduction to this field.
A data mining process deals with:
(1) data accessing and pre-processing
(2) representation construction
(3) analysis, and
(4) presentation of the patterns to the user(s).
The course will provide a comprehensive introduction to each of these steps using practical applications. The emphasis will be on the foundation of the data mining techniques.
The students will need some computer programming experience in a structured language such as Python, C/C++ or Java. Background in linear algebra, statistics, and databases is also recommended.
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