Course Catalog

CS 525 Data Mining	3 Credits
Data mining can be viewed as lossy data reduction and learning techniques that are designed to handle massive data sets containing large numbers of categorical and numeric attributes. This course covers topics in data mining and knowledge discovery structured and unstructured databases such as data integration, mining, and interpretation of patterns, rule-based learning, decision trees, association rule mining, and statistical analysis for discovery of patterns, evaluation and interpretation of the mined patterns using visualization techniques.
Last Offered Terms Course Name SU Credit Spring 2023-2024 Data Mining 3 Spring 2021-2022 Data Mining 3 Spring 2020-2021 Data Mining 3 Spring 2019-2020 Data Mining 3 Fall 2018-2019 Data Mining 3 Fall 2017-2018 Data Mining 3 Fall 2016-2017 Data Mining 3 Fall 2015-2016 Data Mining 3 Spring 2014-2015 Data Mining 3 Spring 2012-2013 Data Mining 3 Spring 2011-2012 Data Mining 3 Fall 2011-2012 Data Mining 3 Fall 2008-2009 Data Mining 3 Fall 2007-2008 Data Mining 3 Fall 2006-2007 Data Mining 3 Fall 2004-2005 Data Mining 3 Fall 2003-2004 Data Mining 3 Spring 2002-2003 Data Mining 3 Spring 2001-2002 Data Mining 3
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ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: