☰ Advanced Methods in Data Analysis
1. Instructor
Prof.dr. Horia F. Pop, Email:
2. Preliminaries
This is a research oriented class. Your grade will be based on your own work and on your understanding of it, including your ability to explain, defend and analyse your work and your results.
3. Schedule of activities
- Wed 16-18 - Lectures
- Wed 18-20 - Seminars ICA
- Wed 14-16 - Seminars AI4CI (week 2/2)
The class meetings start with the lecture in week 1.
| Week | Lectures | Seminars |
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| 1 | Class Administration, Organization, Introduction |
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| 2 |
Fuzzy sets, Fuzzy logic
Fuzzy reasoning, Fuzzy control systems
Fuzzy clustering, Quality measures
PCA, Discriminant analysis, Regression
Rough sets, Decision tables, Decision trees
Applications of data analysis and fuzzy sets
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| 3 |
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| 4 |
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| 5 |
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| 6 | Report 1 |
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| 7 |
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| 8 |
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| 9 |
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| 10 | Report 2 |
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| 11 |
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| 12 |
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| 14 |
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- Week 13 - national holiday; no classes
4. Online resources
- Lecture notes and other resources are available on the UBB Sharepoint platform.
- Please understand that the lecture notes will be posted here AFTER the class.
5. Students deliverables
You will work on your own preferred research topics. They have to be relevant to the general class topic (i.e. Data Analysis), but do not need to refer strictly to topics from the lectures.
First report
- deadline for setting the time slot = week 5, Monday 00:00 hours
- the time slot is scheduled via email on a first come first served basis, according to available slots
- the written report is send via this link as a ZIP archive including all necessary files
- if the upload system allows a ZIP archive, the file will be named r1-studentname.ZIP and uploaded as such
- if the upload system does not allow a ZIP archive, the file will be named r1-studentname.ZIP.PDF and uploaded as such
- class presentations = weeks 6-9
- the reports presentation schedule is published and updated on the UBB Sharepoint platform
Second report
- deadline for setting the time slot = week 9, Monday 00:00 hours
- the time slot is scheduled via email on a first come first served basis, according to available slots
- the written report is send via this link as a ZIP archive including all necessary files
- if the upload system allows a ZIP archive, the file will be named r2-studentname.ZIP and uploaded as such
- if the upload system does not allow a ZIP archive, the file will be named r2-studentname.ZIP.PDF and uploaded as such
- class presentations = week 10-14
- the reports presentation schedule is published and updated on the UBB Sharepoint platform
6. Bibliography
- J. Han, M. Kamber, Data Mining: Concepts and Techniques, Academic Press, 2001
- G.J. Klir, B. Yuan, Fuzzy Sets and Fuzzy Logic, Prentice Hall, 1995
- T. Mitchell, Machine Learning, McGraw Hill, 1996
- Z. Pawlak, Rough Sets, Polish Academy of Sciences, Gliwice, 2004
- N. Ye, The Handbook of Data Mining, Lawrence Elbaum Associates Publishers, 2003
Optional bibliography
- A. Agresti, An Introduction to Categorical Data Analysis, Wiley, New York, 1996
- M. Barthold, D.J. Hand, Intelligent Data Analysis, Springer Verlag, 2003
- J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algoritms, Plenum Press, New York, 1981
- C. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995
- Y.H. Pao, Adaptive pattern recognition and neural networks, Addison Wesley, 1989
- Statsoft inc., Electronic Statistics Textbook, Tulsa, OK, 2006, Website
- Open internet resources
© Prof.dr. Horia F. Pop