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Data Mining

• Course name: Data Mining
• Course number: N/A

Course Characteristics

Key concepts of the class

• Data Preparation
• Association Pattern Mining
• Cluster Analysis
• Outlier Analysis
• Data Classification
• Mining Data Streams, Text Data and Discrete Sequences

What is the purpose of this course?

Data mining is the study of collecting, cleaning, processing, analyzing, and gaining useful insights from data. A wide variation exists in terms of the problem domains, applications, formulations, and data representations that are encountered in real applications. Therefore, “data mining” is a broad umbrella term that is used to describe these different aspects of data processing. This course aims to help students to correctly address large data volumes using advanced tools and techniques. This leads to unique challenges from the perspective of processing and analysis.