Anna Bou Ezzeddine

Learn More
A new approach to web search that is based on a bee hive metaphor is presented. We proposed a modified model of a bee hive. Our model comprises of a dance floor, an auditorium, and a dispatch room. We have shown that the model is a true model of a bee hive in the sense it simulates several kinds of its typical behaviour. However, more importantly it is a(More)
Context search is based on gathering information about user's sphere of interest before the search process. This information defines context and augments search query in subsequent phases of search to attain better search results. There are several basic methods for context enhanced searching. The main idea of them is to extract keywords of the found(More)
This paper discusses applying the social behaviour of bees to the web search. We proposed an on-line search of the user's predefined group of pages. In particular, this approach is based on our model of a bee hive being augmented by a model of the behaviour of bees outside the hive and by the method of assigning the page quality. With regard to the(More)
Problem solving methods, inspired biologically or by nature, are gaining in importance. Their potential for devising new, but also for increasing efficiency of some well-known methods for solving different kinds of problems, is becoming more and more obvious. The behaviour of social insects provides a lot of inspiration. We took inspiration from honey bees,(More)
A model of the bee hive that clearly separates the self-organizing decision-making behaviour of the bees in the hive and the problem-specific behaviour of the bees outside the hive is presented. This separation allows for the applications of the model for different problem domains. The Bee Hive at Work model has been applied to several problem domains.(More)
In this paper we present a method for adaptive selection of test questions according to the individual needs of students within a web-based educational system. It functions as a combination of three particular methods. The first method is based on the course structure and focuses on the selection of the most appropriate topic for learning. The second uses(More)
This paper presents an approach to predictive modeling of sequentially arriving data, also known as a stream. Because of their unique properties, this kind of data requires different mining techniques. The ultimate limitations are the memory and the time. Since the number of records can be infinite, it is not possible to store them all in memory or read(More)