Eksploracja i analiza danych  - Basics of Data Mining and Data Analysis

Przedmiot dla studentów Informatyki, specjalności SE (Politechnika Poznanska)

This course is taught in English language for Master Course of Software Engineering (Poznan University of Technology).

We plan to move these course materials to the e-learning SE system - so please verify the content of e-moodle, in particular with respect to instruction for laboratories classes, small projects and homeworks (contat my cooperating teaching assistant).

Prowadzący / Lecturer:

dr hab. inż. Jerzy Stefanowski , prof. nadzw.

Lectures are planned each Monday, CW-BT lecture room L128 godz, 13.30-15.00;

Lectures slides for an academic year 2010/11

  1. Introduction to KDD Process.
  2. Prediction models - regression; Two lectures.
  3. Pre-processing for data mining .
  4. Discovery of classification trees.
  5. Discovery of rules.
  6. Lecture on Statistical Classifiers is put insude ALGODEC lecture link - see Dodatkowe wyklady
  7. On evaluation of classifiers.
  8. Lecture on Multiple classifiers is put insude ALGODEC lecture links .
    However, see also the following special short lecture on this topic special for you on ensembles + imbalance learning.
  9. Cluster algorithms.
  10. Association Rules; We added an extra lecture on rule evaluation - see additional handouts.
  11. Sequence Data Mining.
  12. Basics of Artificial Neural Networks A lecture on MLP, RBF and Kohonen networks.
  13. Data Visualisation and Visual Data Mining
  14. Summary of KDD and Buisness Advanced Data Processing Systems
  15.  

Dodatkowe wyklady - Tutorials on Data Mining - ALGODEC COST project
Laboratory notes -- will be provided by our Lab Instructor. See the moodle for Software Enginering.

 Topics and Reamrks for the Final Exam 2010 - partly for 2011

Literatura

Ostatnia aktualizacja: 12 06 2011 - J.Stefanowski