@inproceedings{1013832cad074a71bc95b3cd9deccd99,
title = "Computing Skypattern Cubes Using Relaxation",
abstract = "We propose an effective method to compute the sky pattern cubes thanks to a relaxation strategy in the pattern mining process. Our approach is based on the fact that each node of the cube can be approximated by the set of edge-sky patterns (a relaxed form of sky patterns) w.r.t. The whole set of measures M. Then we transform the problem into a skyline cube mining in M dimensions. The set of edge-sky patterns can be efficiently mined by using either a dynamic CSP method or an extended version of a static method based on the theoretical relationships between patterns and condensed representations of sky patterns. Experiments conducted on UCI datasets and on a real-life dataset (Mutagen city) show the relevance and performance of our approach.",
keywords = "Dynamic CSP, Skypattern Cube, Soft Skypattern",
author = "Willy Ugarte and Patrice Boizumault and Samir Loudni and Bruno Cremilleux",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 26th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2014 ; Conference date: 10-11-2014 Through 12-11-2014",
year = "2014",
month = dec,
day = "12",
doi = "10.1109/ICTAI.2014.132",
language = "Ingl{\'e}s",
series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",
publisher = "IEEE Computer Society",
pages = "859--866",
booktitle = "Proceedings - 2014 IEEE 26th International Conference on Tools with Artificial Intelligence, ICTAI 2014",
}