Branko Kavsek

Orcid: 0000-0002-9092-1633

According to our database1, Branko Kavsek authored at least 15 papers between 2001 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Imputing Missing Answers in the World Values Survey.
Proceedings of the 7th Human-Computer Interaction Slovenia Conference 2022, 2022

2021
Distance based clustering of class association rules to build a compact, accurate and descriptive classifier.
Comput. Sci. Inf. Syst., 2021

ACHC: Associative Classifier Based on Hierarchical Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Recognition of Eudaemonic and Hedonic Qualities from Song Lyrics.
Proceedings of the 6th Human-Computer Interaction Slovenia Conference, 2021

2020
CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative Classifier.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

A compact and understandable associative classifier based on overall coverage.
Proceedings of the 11th International Conference on Ambient Systems, 2020

2019
Simple and Accurate Classification Method Based on Class Association Rules Performs Well on Well-Known Datasets.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

2015
"I Agree": The Effects of Embedding Terms of Service Key Points in Online User Registration Form.
Proceedings of the Human-Computer Interaction - INTERACT 2015, 2015

2006
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.
Appl. Artif. Intell., 2006

2005
Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies.
Proceedings of the Artificial Intelligence in Medicine, 2005

2004
Subgroup Discovery with CN2-SD.
J. Mach. Learn. Res., 2004

ROC Analysis of Example Weighting in Subgroup Discovery.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

2003
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

2002
Adapting classification rule induction to subgroup discovery.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction.
Proceedings of the Machine Learning: EMCL 2001, 2001


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