An important remark is that the second inference process, developed in the framework of a probabilistic first-order temporal logic, does not impose which methodology must be used

Keywords: Web usage mining (WUM), Web mining, data mining, Web access logs, WUM methodology, WUM preprocessing, intersites WUM, sequential pattern mining, low support,

Keywords: Web usage mining (WUM), Web mining, data mining, Web access logs, WUM methodology, WUM preprocessing, intersites WUM, sequential pattern mining, low support,

Keywords : Knowledge discovery in databases, data mining, sequence database, interestingness measure, belief, unexpected sequences, sequential patterns, sequence rules, fuzzy

We introduced the problem of mining unexpected sequential patterns and un- expectedness rules in a sequence database with respect to a user defined belief base, that states

We first formalize the belief base and propose 3 forms of unexpected of sequences, and then we propose the notions and discoveries of the unexpected sequential patterns and

data mining project providing data mining of association rules, building of classification models based on associ- ation rules and outlier detection based on frequent pat- tern

Interestingly, although the enzyme resistant GIP and GLP-1 mimetic had no effect on trabecular and cortical microstructure in diabetic mice, they significantly

When comparing the percent change in Treg suppressive function over the treatment period (relative to suppression at baseline), we observed a signi ficant difference between both

In particular, CMRules was shown to be faster for datasets where the percentage of association rules that are sequential rules is high, whereas CMDeo is faster for dense datasets

Définition d'un carré magique : un carré magique 33 est rempli avec les nombres de 1 à 9 utilisés une seule fois de telle manière que la somme des trois nombres écrits

HASAR : mining sequential association rules for atherosclerosis risk factor analysis.. Laurent Brisson, Nicolas Pasquier, Céline Hebert,

In this paper, we present our approach USER, that finds unexpected sequences and implication rules from sequential data with user defined beliefs, for mining unex- pected behaviors

As an appli ation of the existen e of (nite/innite) sequen es of terms that are fun tionally graph easy , we get strong results on erning the stru ture of the latti e of

As pattern mining algorithms deal with symbolic sequences, we present rst how to transform time series related to audio data into symbolic sequences.. Then we show how to use

Once the raw signal is transformed into a symbolic sequence of items or itemsets, classical sequential motif discovery algorithms can be applied.. Two kinds of sequential

(1) Le dispositif Design en réseau et les actions qu’il fédère depuis 3 ans repose sur deux pré-requis et sur les hypothèses suivantes :. -Pré requis

(On v´ erifie ais´ ement, en utilisant les propri´ et´ es g´ en´ erales des images inverses, que cette ensemble de parties ouvertes satisfait bien les axiomes d’une