Revisiting Numerical Pattern Mining with Formal Concept Analysis
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1342-1346.
Abstract
We investigate the problem of mining numerical data with Formal Concept Analysis. The usual way is to use a scaling procedure —transforming numerical attributes into binary ones — leading either to a loss of information or of efficiency, in particular w.r.t. the volume of extracted patterns. By contrast, we propose to directly work on numerical data in a more precise and efficient way. For that, the notions of closed patterns, generators and equivalent classes are revisited in the numerical context. Moreover, two original algorithms are proposed and tested in an evaluation involving real-world data, showing the quality of the present approach.
@inproceedings{ijcai2011p227,
title = {Revisiting Numerical Pattern Mining with Formal Concept Analysis},
author = {Kaytoue, Mehdi and Kuznetsov, Sergei O. and Napoli, Amedeo},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1342--1346},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-227},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-227},
}
TY - CPAPER TI - Revisiting Numerical Pattern Mining with Formal Concept Analysis AU - Kaytoue, Mehdi AU - Kuznetsov, Sergei O. AU - Napoli, Amedeo T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1342 EP - 1346 DO - 10.5591/978-1-57735-516-8/IJCAI11-227 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-227 ER -Copied
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