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. .. Approches-basées-sur-un-raisonnement-approximatif, 39 3.2.2.1 Approches basées sur les modèles de Markov, 40 3.2.2.2 Approches basées sur les modèles experts, p.41

S. Mesure-de, 57 4.4.2 Construction des arbres de changements spatiotemporels, p.65

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A. Introduction and .. , 107 A.2 Familles de méthodes de segmentation 108 A.2.1 Méthodes par partitionnement, p.111

.. Probì-emes-liésliésà-la-segmentation, 114 A.5 Combinaison des résultats de la segmentation, p.115

B. Sommaire and .. Introduction, 118 B.2.1 Les critères de choix de mesures d'intérêts, p.122

. Dans-la-littérature, il existe plusieurs mesures d'intérêt. Ces mesures peuvent se classifier généralementgénéralementà des mesures objectives ou subjectives. Elles peuventêtrepeuventêtre appliquées pour divers types de modèles afin d'analyser leurs propriétés théoriques

L. Cependant and . Capture, de toutes les fonctionnalités de l'intérêt d'un modèle dans un seul coup pour une seule mesure est très difficile. Ainsi, le choix d'une bonne mesure

. Dans-la-littérature, plusieurs critères ontétéontété proposés pour identifier une bonne mesure . Dans la présente annexe, nous commençons par présenter les mesures d'intérêts

. Ensuite, nous exposons uné etude comparative de quelques mesures d'intérêt

B. Figure, 1 ? Position de la mesure d

L. Critères-de-choix-de-mesures-d, intérêts En littérature, il existe essentiellement neuf critères pourévaluerpourévaluer si une r` egle découverte est intéressante ou non Ces critères sont : ? Concision. Une r` egle est concise si elle contient relativement peu de paires attribut-valeur, tandis qu'un ensemble de r` egles est concis s'il est relativement réduit, Ainsi, une r` egle ou un ensemble de r` egles est relativement facilè a

. Dans-la-littérature, plusieurs mesures objectives d'intérêt ontétéontété proposées Parmi ces mesures, nous citons, Kamber et Shinghal (K.S) et Gago et Bento (G.B.I)

?. Mesure-d-'intérêt-de-piatetsky-shapiro-la-mesure-d-'intérêt-de-piatetsky-shapiro, S) est utilisée pour quantifier la corrélation entre les attributs d'une r` egle de classification

?. Nouveauté, Cette caractéristique est nommée la nouveauté (NO) qui est considérée comme une principale mesure subjective d'intérêt. Ludwig et al. [103] définie la nouveauté comme suit : " une hypothèse H est nouveau, tout en considérant un en ensemble de croyances B, si et seulement si H n'est pas dérivable de B " . Dans notre approche, une r` egle est considérée comme nouvelle si elle ne peut pasêtrepasêtre déduitè a partir des r` egles précédemment découvertes. La façon simple de calculer ceci est de chercher les r` egles découvertes et les comparer avec les r` egles existantes. Si nous considérons le cas de la r` egle suivante : R1 : SI similar(S q ,t,S p ,t 1 ) ALORS change(S q ,S 1 ,t',per 1 ,deg 1 ) ET change(S q

. Ainsi, nous remarquons que les mesures d'intérêt objectives et subjectives sont complémentaires. Par conséquent, combiner ces deux types de mesures dans un système d'ECBD permet d'améliorer la qualité de découverte des r` egles pertinentes. En effet, chaque r` egle a des valeurs spécifiques pour chaque critère de mesure d'intérêt

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