Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Quiniou, René"'
Autor:
Guyet, Thomas, Quiniou, René
Mining frequent sequential patterns consists in extracting recurrent behaviors, modeled as patterns, in a big sequence dataset. Such patterns inform about which events are frequently observed in sequences, i.e. what does really happen. Sometimes, kno
Externí odkaz:
http://arxiv.org/abs/1804.01256
Publikováno v:
Bruno Pinaud; Fabrice Guillet; Bruno Cremilleux; Cyril de Runz. Advances in Knowledge Discovery and Management, 7, Springer, pp.41--81, 2017, 978-3-319-65405-8
This article presents the use of Answer Set Programming (ASP) to mine sequential patterns. ASP is a high-level declarative logic programming paradigm for high level encoding combinatorial and optimization problem solving as well as knowledge represen
Externí odkaz:
http://arxiv.org/abs/1711.05090
This article extends the method of Garriga et al. for mining relevant rules to numerical attributes by extracting interval-based pattern rules. We propose an algorithm that extracts such rules from numerical datasets using the interval-pattern approa
Externí odkaz:
http://arxiv.org/abs/1709.03267
Serial pattern mining consists in extracting the frequent sequential patterns from a unique sequence of itemsets. This paper explores the ability of a declarative language, such as Answer Set Programming (ASP), to solve this issue efficiently. We pro
Externí odkaz:
http://arxiv.org/abs/1409.7777
The evolution of the web server contents and the emergence of new kinds of intrusions make necessary the adaptation of the intrusion detection systems (IDS). Nowadays, the adaptation of the IDS requires manual -- tedious and unreactive -- actions fro
Externí odkaz:
http://arxiv.org/abs/0907.3819
This paper formalises the concept of learning symbolic rules from multisource data in a cardiac monitoring context. Our sources, electrocardiograms and arterial blood pressure measures, describe cardiac behaviours from different viewpoints. To learn
Externí odkaz:
http://arxiv.org/abs/0902.3373
Publikováno v:
Data Mining & Knowledge Discovery; Mar2024, Vol. 38 Issue 2, p372-419, 48p
Akademický článek
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Autor:
Wang, Wei, Guyet, Thomas, Quiniou, René, Cordier, Marie-Odile, Masseglia, Florent, Zhang, Xiangliang
Publikováno v:
In Knowledge-Based Systems November 2014 70:103-117
Publikováno v:
In The Veterinary Journal 2011 190(1):136-142