@inproceedings{0b2828806a8a4b979f44fede4190ba29,
title = "Mining sequential rules common to several sequences with the window size constraint",
abstract = "We present an algorithm for mining sequential rules common to several sequences, such that rules have to appear within a maximum time span. Experimental results with real-life datasets show that the algorithm can reduce the execution time, memory usage and the number of rules generated by several orders of magnitude compared to previous algorithms.",
keywords = "sequence database, sequential rules, sliding-window, time",
author = "Philippe Fournier-Viger and Wu, \{Cheng Wei\} and S. Tseng and Roger Nkambou",
year = "2012",
doi = "10.1007/978-3-642-30353-1\_27",
language = "English",
isbn = "9783642303524",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "299--304",
booktitle = "Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings",
note = "25th Canadian Conference on Artificial Intelligence, AI 2012 ; Conference date: 28-05-2012 Through 30-05-2012",
}