Ian H. Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, (2000).
Data Mining and Knowledge Discovery, Intelligent Data Analysis, Machine Learning, Artificial Intelligence, Knowledge-Based Systems, Applied Intelligence, Journal of Artificial Intelligence Research, Knowledge and Information Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence.
WEEK DAYS TOPICS 1 Feb 6, 8 Introduction, Clustering 2 Feb 13, 15 Concept learning, Classification, Categorization 3 Feb 20, Association Rules 22 Seminar 4 Feb 27, 1 Seminar 5 Mar 6, 8 Holiday 6 Mar 13, 15 Seminar 7 Mar 20, 22 Seminar 8 Mar 27, 29 Seminar 9 Apr 3, 5 Seminar 10 Apr 10, Seminar 12 Workshop 11 Apr 17, 19 Workshop 12 Apr 24, 26 Workshop 13 May 1, 3 Workshop 14 May 8, 10 Workshop 15 May 15, 17 Workshop
Other than his/her presentation, each student is expected to read the papers to be presented by others before the presentation. After each presentation, we will have a discussion session. Each student will be graded in his/her participation to the seminar.
Students are referred to the paper "How to Present a Paper in Theoretical Computer Science: A Speaker's Guide for Students" for a successful presentation.
Workshop: We will organize a workshop during the remaining portion of the semester. Each student will conduct an experiment, testing new ideas preferably on the area of their presentation topic. Then, the student will prepare a short paper (about 8-10 pages) reporting his/her experiment(s) along with the interpretation of the results and pointers for further research. The paper should have the quality of, at least, a national symposium paper. Three copies of papers will be submitted to the instructor by April 5. The papers will be distributed for reviewing on April 6. Each paper will be reviewed by two randomly selected classmates. Each reviewer will put his/her comments and suggestions on the paper and return them back to the instructor by April 10. The papers with peer reviews will then be returned to the authors on April 12. Instructor's comments will be returned by May 17. The authors will revise (if necessary) their papers in the light of the reviews, and submit the final copies by May, 24 to the instructor.
Students are referred to the paper "How to give a good research talk" for a successful presentation of your own work.
Presentations during seminars and workshop will be made using the datashow equipment connected to a PC that will be made available in the class. Therefore, the students are asked to prepare their presentations using the PowerPoint® program.
Seminar: 50% (Presentation: 40% + Participation: 10%) Workshop: 50% (Paper: 40% + Review: 10%)