1. WEKA 3.1.8 Waikato Environment for Knowledge Analysis http://www.cs.waikato.ac.nz/ml/weka/

2. Program A quick overview of WEKA functionality WEKA demonstration Visualization and EG2000

3. WEKA Command line interface Explorer –Filters –Learning (clustering, classification, assoc. Rules) –Attribute selection –Basic visualization Experimenter –Testing a particular method on a set of data –Various criteria for comparison of results

4. Classification Meta-methods: –Another classifier is one of the parameters. –Boosting, bagging, logitboost, metacost, stacking, etc. Methods: –SMO, k-NN, LWR, logistic... –C4.5, m5... –Associative rules.

5. Filters Adding/removing attributes Attribute value substitution Discretization (MDL, Kononenko, etc.) Time series filters (delta, shift) Sampling, randomization Missing value management Normalization and other numeric transformations

6. Attribute Selection Search methods: –Best-first. –Genetic. –Ranking... Measures: –ReliefF. –information gain. –Gain ratio…

7. Other Features Probability estimators Method evaluators –Margin curve (difference between the predicted class probability and max probability of other classes) –Threshold curve (varying class proportions) –Statistics for binary class domains Precision: correct p/total predicted P F-measure: 2*TP*precision/(TP+precision)

8. My Humble Opinion Good: –Simplicity –Features –GUI Bad: –Kitchen sink syndrome –Strange object hierarchy –Incomplete documentation

12. Eurographics Kake uporabne ideje?

13. Vizualizacija Pristop: –Za nek tip podatkov… –najdemo dober način prikaza. Pozor: –Dobra vizualizacija namesto pravil ali odločitvenih dreves. –Dober vmesnik namesto avtomatske analize podatkov. K sreči: –Za vizualizacijo predvsem uporabljajo večdimenzionalne prostorske podatke.

14. Deleži Mozaični diagram

15. Deleži 2

16. Raztreseni diagram tudi planetni ali mehurčni diagram William Playfair (1759-1823) The Commercial and Political Atlas, 1786, uvedel tudi: –črtni diagram (line) –stolpčni diagram (bar) –tortni diagram (pie)

17. Interaktivnost

18. Interaktivnost 2

19. Dimenzije figura (glyph) 5 dimenzij: –prostor –barva –velikost

20. Priprava vizualizacije dataflow

21. Osnovni elementi Obseg: –Pozicija –Velikost –Sivina Razlika –Smer –Barva –Oblika –Vzorec NeurejeniUrejeniKoličinski

22. Iskanje povezanosti