Dragan Gamberger
External collaborator at Rudjer Bošković Institute , Zagreb, Croatia
(personal data )
Contact: dragan.gamberger AT irb.hr
or
dragan.gamberger AT gmail.com
Powerful free web applications for insightful data analysis
Prepare data on your computer, upload the data by using a browser and get results in seconds.
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Exploratory Clustering (unsupervised clustering and feature selection)
Use it to identify sets of similar instances discribed by up to 1000 numerical or categorical properties
- Random Rules (supervised classification and feature selection)
Determine if it is possible to predict class of examples from given properties. If yes, use it to predict class of instances with unknown classification
- Data Mining Server (supervised subgroup discovery)
Generate simple human interpretable descriptions for the positive class examples
Further readings:
Book: Foundations of Rule Learnig by J.Fuernkranz, D.Gamberger, and N.Lavrac
Handbook (in Croatian): Data Mining for Knowledge Discovery by D.Gamberger