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George Mason University

2016-2017 University Catalog

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2016-2017 University Catalog

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CS 504 - Principles of Data Management and Mining

Credits: 3
Not Repeatable for Credit
Offered by Computer Science

Techniques to store, manage, and use data including databases, relational model, schemas, queries and transactions. On Line Transaction Processing, Data Warehousing, star schema, On Line Analytical Processing. MOLAP, HOLAP, and hybrid systems. Overview of Data Mining principles, models, supervised and unsupervised learning, pattern finding. Massively parallel architectures and Hadoop.

Prerequisite(s): Graduate Standing.
Notes: This course cannot be taken for credit by students of the MS CS, MS ISA, MS SWE, CS PhD or IT PhD programs.

Schedule Type: LEC
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0

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CS 504 - Principles of Data Management and Mining