\nProcedure nettoyage_\u00e9v\u00e8nements_frames<\/p>\n Entr\u00e9e : log brut ;<\/p>\n Sortie : log sans \u00e9v\u00e8nements pour frames<\/p>\n debut<\/p>\n Ouvrir la table LOG ;<\/p>\n Pour chaque utilisateur Ui(Maci,Logini) faire<\/p>\n Trier LOG par id_fenetre, puis par ordre chronologique inverse ; Appliquer un filtre \u00e0 LOG pour les entr\u00e9es de Ui ;<\/p>\n Tant que non LOG.BOF faire<\/p>\n Item entr\u00e9e courante ;<\/p>\n \/\/R\u00e9cup\u00e9rer le type d\u2019\u00e9v\u00e8nement,l\u2019id de la fenetre,l\u2019url,et le<\/p>\n \/\/nbre de frames resp. dans les variables e1,f1,u1, et j ;<\/p>\n e1 Ev\u00e8nement(Item) ; f1 Id_Fenetre(Item) ; u1 Url(Item) ;<\/p>\n j Nbre_Frames(Item) ;<\/p>\n si e1=2 et j>0 alors \/\/ cas d\u20191 frameset<\/p>\n R\u00e9p\u00e9ter<\/p>\n Item LOG.pr\u00e9c\u00e9dent ;<\/p>\n \/\/R\u00e9cup\u00e9rer le type d\u2019\u00e9v\u00e8nement, l\u2019id de la fenetre, et l\u2019url<\/p>\n \/\/respectivement dans les variables e2,f2, et u2 ;<\/p>\n e2 Ev\u00e8nement (Item) ; f2 Id_Fenetre(Item) ; u2 Url(Item) ;<\/p>\n Marquer l\u2019entr\u00e9e_pour_effacement ;<\/p>\n Si e2=1 alors j– ;<\/p>\n Jusqu\u00e0 ((e2=1) et (u2=u1)) ou (j=0) ou (f2<>f1) ou Log.Bof; Item LOG.pr\u00e9c\u00e9dent ;<\/p>\n Fin tant que ;<\/p>\n Annuler le filtre \u00e0 LOG ;<\/p>\n Continuer pour le reste des utilisateurs ; Fin de nettoyage_\u00e9v\u00e8nements_frames<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 13. Suppression des \u00e9v\u00e8nements dus aux frames.<\/p>\n","protected":false},"excerpt":{"rendered":" S2WC2, un Framework pour la Segmentation de Sessions Web Cot\u00e9 Client Chapitre 4 – S2WC2, un Framework pour la Segmentation de Sessions Web Cot\u00e9 Client 4.1 Introduction Apr\u00e8s avoir explor\u00e9 les sujets de l\u2019extraction de connaissances et de la fouille du web et pr\u00e9sent\u00e9 l\u2019\u00e9tat de l\u2019art sur le web 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