Sherin M. Moussa

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—The existence of advanced smart devices and related technologies such as pervasive computing, mobile wireless communications, sensor networks and agent technologies have supported the proliferation of smart spaces. In this paper, we present the design of " Bosthan " , a multi-agent-based simulation tool that manages resources consumption in(More)
Unlabeled document collections are becoming increasingly common and available; mining such data sets represents a major contemporary challenge. Using words as features, text documents are often represented as high dimensional and sparse vectors-a few thousand dimensions is typical. Practical approaches to clustering such document vectors use an iterative(More)
Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks (LBSNs). While LBSNs are richer in their model and functions than SNs, they fail so far to attract as many users as SNs. On the other hand, SNs have large(More)
Mobile devices leave a huge number of digital traces that are collected as trajectories, describing the movement of its users or a path followed by any moving object in geographical space over some period of time. However, those mobile devices provide just raw trajectories (x, y, t), ignoring information about their related contextual data, these additional(More)
Seamless information processing is gradually being integrated into daily human activities by creating a <i>ubiquitous computing</i> environment. Such information processing requires continuous access to the profiles of users so that the environment can act based on users' preferences. In this paper, we present a design of an experimental study of an(More)
Many techniques have been used for document clustering that depended on the number of word occurrences in documents. In these techniques, words are considered as dimensions of the clustering space. Since a huge number of words is found in each document, studies were held to reduce this high dimensionality for better performance i.e., words pruning. Sampling(More)
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