CS699 -- Data Mining

MET CS 699 OL-- Data Mining and Business Intelligence

Instructor

Suresh Kalathur, Ph.D.
Assistant Professor, Computer Science Dept.
Boston Univeristy Metropolitan College
808 Commonwealth Ave, Room 250
Boston, MA 02215

E-mail:	kalathur@bu.edu
URL:	http://people.bu.edu/kalathur
Phone:	617-358-0006
Fax:	617-353-2367

Course Web Site

Course Description

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 2005 (Business Intelligence Development Studio). The course grading will consist of analyzing a series of data mining problems, in-class mid term exam, and an online final exam.

Course Grading Policy

The course grade will be based on active class participation and quizzes(10%), assignments (30%), mid term exam (30%), and final exam(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.

References

Data Mining: Concepts and Techniques, Second Edition, J. Han and M. Kamber, Publisher: Morgan Kaufmann, 2006. ISBN: 1-55860-901-6
Practical Business Intelligence with SQL Server 2005, John C. Hancock and Roger Toren, Addison Wesley, 2007. , ISBN: 0-321-35698-5
Various online materials

Student Conduct Code

Please review the academic conduct code

Tentative Course Schedule

Module 1

Overview of Data Mining, Data Warehousing, and
Business Intelligence.

Getting Started with SQL Server 2005 and WEKA Tools

Module 2

Data Preparation

Data Warehouse and OLAP techniques

Module 3

Data Mining -- Classification

Module 4

Data Mining -- Association Analysis

Data Mining -- Clustering

Module 5

Text Mining and Web Mining

Module 6

Real time Business Intelligence

Case Study

Assignments
Assignment 1	Software Installations
Assignment 2	Data Preprocessing
Assignment 3	Classification
Assignment 4	Association and Clustering
Assignment 5	Text Mining
Assignment 6	Exploring the Case Study