George Mason University
George Mason University Mason
George Mason University

CS 657: Mining Massive Datasets with MapReduce

Course Information from University Catalog

Not Repeatable


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.

Hours of Lecture or Seminar per week: 3

Equivalent to CS 757 (2014-2015 Catalog).

Credits: 3

Prerequisites:

CS 584.

1 Course Sections Scheduled for Fall 2017

1 Course Sections Scheduled for Fall 2016

Expertise