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http://vista.bu.edu
Data mining and investigation is a key goal behind any data warehouse effort. The course provides an introduction to concepts behind data mining, text mining, and web mining. The course surveys various data mining applications, methodologies, techniques, and models. Topics include classification, decision trees, association rules, and clustering. The course wraps up with data mining case studies using large data sets taken from real-world projects. Algorithms will be tested on data sets using the Weka Data mining software and Microsoft SQL Server 2008 R2 (Business Intelligence Development Studio). The course grading will consist of analyzing a series of data mining problems, in-class mid term exam, and a final project.
The course grade will be based on active class participation and quizzes(10%), assignments (30%), mid term exam (30%), and final project(30%). Assignments are expected to be submitted by their respective due dates. Late submission grades will be scaled with respect to the minimum grade of those submitted on time.
Please review the academic conduct code
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