Association Rule Mining Following the Web Search Paradigm
Abstract
I:ZI Miner ( sewebar.vse.cz/izi-miner ) is an association rule mining system with a user interface resembling a search engine. It brings to the web the notion of interactive pattern mining introduced by the MIME framework at ECML’11 and KDD’11. In comparison with MIME, I:ZI Miner discovers multi-valued attributes, supports the full range of logical connectives and 19 interest measures. A relevance feedback module is used to filter the rules based on previous user interactions.
Cite
Text
Skrabal et al. "Association Rule Mining Following the Web Search Paradigm." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2012. doi:10.1007/978-3-642-33486-3_52Markdown
[Skrabal et al. "Association Rule Mining Following the Web Search Paradigm." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2012.](https://mlanthology.org/ecmlpkdd/2012/skrabal2012ecmlpkdd-association/) doi:10.1007/978-3-642-33486-3_52BibTeX
@inproceedings{skrabal2012ecmlpkdd-association,
title = {{Association Rule Mining Following the Web Search Paradigm}},
author = {Skrabal, Radek and Simunek, Milan and Vojír, Stanislav and Hazucha, Andrej and Marek, Tomás and Chudán, David and Kliegr, Tomás},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2012},
pages = {808-811},
doi = {10.1007/978-3-642-33486-3_52},
url = {https://mlanthology.org/ecmlpkdd/2012/skrabal2012ecmlpkdd-association/}
}