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CSTST 2008, 5th International conference on soft computing as transdisciplinary science and technology 28/10/2008 31/10/2008 Cergy-Pontoise France Proceedings ACM
nom du congrès :
CSTST 2008, 5th International conference on soft computing as transdisciplinary science and technology
début du congrès :
28/10/2008
fin du congrès :
31/10/2008
ville du congrès :
Cergy-Pontoise
pays du congrès :
France
site des actes du congrès :
|
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CSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)
Titre : CSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France : Proceedings Type de document : Actes de congrès Auteurs : Richard Chbeir, Éditeur scientifique ; Youakim Badr, Éditeur scientifique ; Ajith Abraham, Éditeur scientifique ; Dominique Laurent , Éditeur scientifique ; Fernando Ferri, Éditeur scientifique Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2008 Conférence : CSTST 2008, 5th International conference on soft computing as transdisciplinary science and technology 28/10/2008 31/10/2008 Cergy-Pontoise France Proceedings ACM Importance : 693 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-1-60558-046-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] algorithmique
[Termes IGN] architecture logicielle
[Termes IGN] classification
[Termes IGN] découverte de connaissances
[Termes IGN] exploration de données
[Termes IGN] ingénierie des connaissances
[Termes IGN] logique floue
[Termes IGN] optimisation (mathématiques)
[Termes IGN] réseau neuronal artificielNuméro de notice : 19702 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes DOI : sans En ligne : https://dl.acm.org/doi/proceedings/10.1145/1456223 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82642 ContientExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 19702-01 CG2008 Livre Centre de documentation Congrès Disponible Diagnosis in systems based on an informed tree search strategy: application to cartographic generalisation / Patrick Taillandier (2008)
contenu dans CSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)
Titre : Diagnosis in systems based on an informed tree search strategy: application to cartographic generalisation Type de document : Article/Communication Auteurs : Patrick Taillandier , Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2008 Conférence : CSTST 2008, 5th International conference on soft computing as transdisciplinary science and technology 28/10/2008 31/10/2008 Cergy-Pontoise France Proceedings ACM Importance : pp 589 - 594 Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] arbre (mathématique)
[Termes IGN] base de connaissances
[Termes IGN] découverte de connaissances
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] stratégie
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Many real world problems can be expressed as optimisation problems. Solving this kind of problems means to find, among all possible solutions, the one that maximises an evaluation function. One approach to solve this kind of problem is to use an informed search strategy. The principle of this kind of strategy is to use problem-specific knowledge beyond the definition of the problem itself to find solutions more efficiently than with an uninformed strategy. This kind of strategy demands to define problem-specific knowledge (heuristics). The efficiency and the effectiveness of systems based on it directly depend on the used knowledge quality. Unfortunately, acquiring and maintaining such knowledge can be fastidious. The objective of the work presented in this paper is to propose an automatic knowledge revision approach for systems based on an informed tree search strategy. Our approach consists in analysing the system execution logs and revising knowledge based on these logs by modelling the revision problem as a knowledge space exploration problem. We present an experiment we carried out in an application domain where informed search strategies are often used: cartographic generalisation. Numéro de notice : C2008-020 Affiliation des auteurs : COGIT (1988-2011) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1145/1456223.1456344 En ligne : https://doi.org/10.1145/1456223.1456344 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93487 Knowledge revision in systems based on an informed tree search strategy: application to cartographic generalisation / Patrick Taillandier (2008)
contenu dans CSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)
Titre : Knowledge revision in systems based on an informed tree search strategy: application to cartographic generalisation Type de document : Article/Communication Auteurs : Patrick Taillandier , Auteur ; Cécile Duchêne , Auteur ; Alexis Drogoul, Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2008 Conférence : CSTST 2008, 5th International conference on soft computing as transdisciplinary science and technology 28/10/2008 31/10/2008 Cergy-Pontoise France Proceedings ACM Importance : pp. 273 - 278 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] arbre (mathématique)
[Termes IGN] base de connaissances
[Termes IGN] découverte de connaissances
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] révision des connaissances
[Termes IGN] stratégie
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Many real world problems can be expressed as optimisation problems. Solving this kind of problems means to find, among all possible solutions, the one that maximises an evaluation function. One approach to solve this kind of problem is to use an informed search strategy. The principle of this kind of strategy is to use problem-specific knowledge beyond the definition of the problem itself to find solutions more efficiently than with an uninformed strategy. This kind of strategy demands to define problem-specific knowledge (heuristics). The efficiency and the effectiveness of systems based on it directly depend on the used knowledge quality. Unfortunately, acquiring and maintaining such knowledge can be fastidious. The objective of the work presented in this paper is to propose an automatic knowledge revision approach for systems based on an informed tree search strategy. Our approach consists in analysing the system execution logs and revising knowledge based on these logs by modelling the revision problem as a knowledge space exploration problem. We present an experiment we carried out in an application domain where informed search strategies are often used: cartographic generalisation. Numéro de notice : C2008-006 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE Nature : Communication DOI : 10.1145/1456223.1456281 En ligne : http://dx.doi.org/10.1145/1456223.1456281 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82644