Hafida Belbachir

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—Recently, many large organizations have multiple data sources (MDS') distributed over different branches of an interstate company. Local patterns analysis has become an effective strategy for MDS mining in national and international organizations. It consists of mining different datasets in order to obtain frequent patterns, which are forwarded to a(More)
Associative classification algorithms have been successfully used to construct classification systems. The major strength of such techniques is that they are able to use the most accurate rules among an exhaustive list of class-association rules. This explains their good performance in general, but to the detriment of an expensive computing cost, inherited(More)
Currently, geographic information systems (GIS) are accessible to a large public, in particular to users who cannot be considered as experts. However, the access to geographic information and its overtaking by various users are not easy. Indeed, between the rigidity of the available access languages and the ignorance of the organization of information(More)
Dans les sciences de l'information géographique les champs continus sont utilisés pour modéliser et représenter des phénomènes continus naturels et environnementaux. Ils sont d'un grand intérêt pour décrire la distribution de plusieurs propriétés physiques qui varient continuellement dans l'espace et dans le temps, comme la météorologie. Notre article(More)
Apriori Algorithms are used on very large data sets with high dimensionality. Therefore parallel computing can be applied for mining of association rules. The process of association rule mining consists of finding frequent item sets and generating rules from the frequent item sets. Finding frequent itemsets is more expensive in terms of CPU power and(More)