Youcef Ouinten

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Mining maximal frequent itemsets is an important issue in many data mining applications. In our thesis work on selection and tuning of indices in data werhouses, we have proposed a strategy based on mining maximal frequent itemsets in order to determine a set of candidate indices from a given workload. In a first step we have to select an algorithm, for(More)
Vertical partitioning is a technique used to reduce disk access, when executing a given set of queries, by minimizing the access to irrelevant instance variables. In this paper we use the FP-Max data mining algorithm, for extracting frequent item set attributes. The frequently accessed instance variables are, then, grouped as vertical class fragments. We(More)
Several routing protocols for mobile ad hoc networks have been proposed in the literature, each one based on a different strategic: proactive, reactive and hybrid. Some of these protocols have been studied and their performance is evaluated in detail. However a comparison between them is lacking to help determine an optimal strategy. This paper addresses(More)
This paper presents a new algorithm for simultaneous resources sharing by several processes in distributed system. This algorithm treats the problem of message complexity which is an important factor in such a problem, and the waiting time of the requesting sites which can be considered as a quality measure of the distributed algorithms. In this algorithm,(More)