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George Mason University

2016-2017 University Catalog

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2016-2017 University Catalog

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CS 657 - Mining Massive Datasets with MapReduce

Credits: 3
Not Repeatable for Credit
Offered by Computer Science

Covers the techniques to mine large datasets, including Distributed File Systems and Map-Reduce, similarity search, and data stream processing. Covers classic problems in data mining, such as clustering, association rule mining, and others from the point of view of scalability. Includes a final project to exercise concepts covered in class.

Equivalent to CS 757 (2014-2015 Catalog).

Prerequisite(s): B- or higher in CS 584.
Prerequisite(s) enforced by registration system.

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

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CS 657 - Mining Massive Datasets with MapReduce