CIS 527: Data Warehousing, Filtering, and Mining

CIS 527: Data Warehousing, Filtering, and Mining

Fall 2004

CIS 527: Data Warehousing, Filtering, and Mining

Meeting Days: Tuesday, 4:40P - 7:10P, TL302

Instructor: Slobodan Vucetic, 304 Wachman Hall, phone: 204-5535,

Office Hours: Tuesday 2:00 pm - 3:00 pm; Friday3:00-4:00 pm; or by appointment.

Objective:

The course is devoted to information system environments enabling efficient indexing and advanced analyses of current and historical data for strategic use in decision making. Data management will be discussed in the content of data warehouses/data marts; Internet databases; Geographic Information Systems, mobile databases, temporal and sequence databases. Constructs aimed at an efficient online analytic processing (OLAP) and these developed for nontrivial exploratory analysis of current and historical data at such data sources will be discussed in details. The theory will be complemented by hands-on applied studies on problems in financial engineering, e-commerce, geosciences, bioinformatics and elsewhere.

Prerequisites:

CIS 511 and an undergraduate course in databases.

Textbook:

  • (required) J. Han, M. Kamber, Data Mining: Concepts and Techniques,2001.

Additional papers and handouts relevant to presented topics will be distributed as needed.

Topics:

  • Overview of data warehousing and mining
  • Data warehouse and OLAP technology for data mining
  • Data preprocessing
  • Mining association rules
  • Classification and prediction
  • Cluster analysis
  • Mining complex types of data

Grading:

(30%) Homework Assignments (programming assignments, problems sets, reading assignments);

(15%) Quizzes;

(15%) Class Presentation (30 minute presentation of a research topic; during November);

(20%) Individual Project (proposals due first week of November; written reports due the last day of the finals);

(20%) Final Exam.

Late Policy and Academic Honesty:

The projects and homework assignments are due in class, on the specified due date. NO LATE SUBMISSIONS will be accepted. For fairness, this policy will be strictly enforced.

Academic honesty is taken seriously. You must write up your own solutions and code. For homework problems or projects you are allowed to discuss the problems or assignments verbally with other class members. You MUST acknowledge the people with whom you discussed your work. Any other sources (e.g. Internet, research papers, books) used for solutions and code MUST also be acknowledged. In case of doubt PLEASE contact the instructor.

Disability Disclosure Statement

Any student who has a need for accommodation based on the impact of a disability should contact me privately to discuss the specific situation as soon as possible. Contact Disability Resources and Services at 215-204-1280 in 100 Ritter Annex to coordinate reasonable accommodations for students with documented disabilities.

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