Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Casas Garriga, Gemma"'
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
In this paper we revisit the foundations of formal concept analysis for ordered contexts of [4]. From the theoretical point of view, the obtained lattice has proved to be a proper unifying framework for reasoning about different sequential mining tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7481d831a50a626f0dc7c97aa59b91b7
http://hdl.handle.net/2117/85637
http://hdl.handle.net/2117/85637
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
We propose a notion of deterministic association rules for ordered data. We prove that our proposed rules can be formally justified by a purely logical characterization, namely, a natural notion of empirical Horn approximation for ordered data which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b3a396d489258beaf5c7b855da86cce8
http://hdl.handle.net/2117/85639
http://hdl.handle.net/2117/85639
Autor:
Casas Garriga, Gemma
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
One basic goal in the analysis of time-series data is to find frequent interesting episodes, i.e, collections of events occurring frequently together in the input sequence. Most widely-known work decide the interestingness of an episode from a fixed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::95d65399f729999638d6e7875a983df7
https://hdl.handle.net/2117/97328
https://hdl.handle.net/2117/97328
Autor:
Casas Garriga, Gemma
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
The discovery of frequent sequential patterns in an ordered collection of data, such as sequential databases or time-series data, is an important issue in several contexts. In this paper, we employ formal concept analysis to develop the notion of clo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d56e8e1bd22faa357c7dd985f49e6ce9
http://hdl.handle.net/2117/97321
http://hdl.handle.net/2117/97321
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
We describe efficient algorithmic proposals to approach three fundamental problems in data mining: association rules, episodes in sequences, and generalized association rules over hierarchical taxonomies. The association rule discovery problem aims a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::08cfcd6a39d60879cc07ff8b9ec9adda
http://hdl.handle.net/2117/97572
http://hdl.handle.net/2117/97572
Publikováno v:
Database Theory - ICDT 2005; 2004, p215-229, 15p
