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PrerequisitesCMPS 460 or equivalent and
Graduate Standing in Computer Science or Computer Engineering.
OutlineA study of data
mining and knowledge discovery in databases. Topics:
model representation, model evaluation, and search methods in data
mining algorithms; fundamental issues in knowledge discovery;
classification and clustering; trend and deviation analysis;
dependency derivation; integrated discovery systems; augmented
database systems; applications.
TextData Mining: Concepts
and Techniques by Jiawei Han and Micheline Kamber, Morgan Kaufmann,
2nd Edition.
Policies on
CheatingCheating: It should be strictly noted that any
sort of cheating will NOT be tolerated. All work you
submitted must be entirely your own. If any student is found
cheating in an assigment (either programming or non-programming),
he/she will be given a 0 for that assignment. This includes
both the person showing their work and the person involved in
copying. If any student is found cheating in a test, he/she will be
given either a grade of 'C' or 'F' or in some cases will also be
brought to the attention of Dean (Again includes both the person
showing their work and the person involved in copying).
References
- Data Mining by Adriaans and Zantinge, Addison-Wesley, 1996.
- Predictive Data Mining by Weiss, Morgan Kaufmann, 1997.
- Knowledge Discovery in Databases by Wuthrich, The Hong Kong
University of Science and Technology, 1996.
- Advances in Knowledge Discovery and Data Mining by Fayyad,
Piatetsky-Shapiro, Smyth, and Uthurusamy, AAAI Press/The MIT
Press.
- Data Mining The Search for Knowledge in Databases by
Holsheimer and Siebes, Report CS-R9406, ISSN 0169-118X, CWI.
- OLAP Solutions Building Multidimensional Information Systems
by Erik Thomsen, ISBN: 0-471-14931-4.
-
Introduction to Data Mining, First Edition,by Pang-Ning Tan, Michael Steinbach, Vipin Kumar,
ISBN-13: 978-0321321367
Note:
Most of the above materials will be placed in reserve at Dupre
Library. Lots of relevant materials can be obtained from the
Internet: http://www.kdnuggets.com/ or www.cs.bham.ac.uk/~anp/sites.html or http://www.autonlab.org/tutorials/
A couple of copies of some of the references have been placed in reserve
section of the library:
i) Reference #1: pp. 37 - 55
ii) Reference #4: Chapter 1, pp.1-34
iii) Reference #7: pp. 19 -29
kdd
explorations
Grading Policy
- Term Project - 20-30%*
- Homework Assignments - 30%
- Term Test - 10-15%
- Final Exam - 30-40%
*Typically, a term project
involves the design and implementation of search and data mining
algorithms or interface requirements or other knowledge discovery
system components.
Class Notes
Assignments
Useful Links for Projects
Term Test
Last updated: March 17, 2008
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