3. Tεχνικές Αναφορές | Technical Reports

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Browsing 3. Tεχνικές Αναφορές | Technical Reports by Author "Boutsinas, Basilis"

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    Biclustering based on association analysis
    (2013-03-27) Βουτσινάς, Βασίλης; Boutsinas, Basilis
    Τμήμα Διοίκησης Επιχειρήσεων (Τεχνικές Αναφορές)
    Clustering has been applied in a wide variety of disciplines and has also been utilized in many scientific areas. Usually, clustering algorithms construct either clusters of rows or clusters of columns of the input data matrix. Biclustering is a methodology where biclusters are formed by both a subset of rows and a subset of columns, such that objects represented by the first are the most similar to each other when compared over the latter. In this paper, we introduce a new biclustering technique, based on association rule mining, which can support different well-known biclustering models proposed in the literature. Experimental tests demonstrate the accuracy and efficiency of the proposed technique with respect to well known related ones.
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    Improvement of similarity-diversity trade-off in recommender systems based on a facility location model
    Panteli, Antiopi; Boutsinas, Basilis; Παντελή, Αντιόπη; Βουτσινάς, Βασίλειος
    Τμήμα Διοίκησης Επιχειρήσεων (Τεχνικές Αναφορές)
    There is a growing interest in the offering of novel alternative choices to users of recommender systems. These recommendations should match the target query while at the same time they should be diverse with each other in order to provide useful alternatives to the user, i.e. novel recommendations. In this paper, the problem of extracting novel recommendations, under the similarity-diversity trade-off, is modeled as a facility location problem. We formulate this trade-off as a multiple p-median problem solved by using biclustering. The results from tests in the benchmark Travel Case Base were satisfactory when compared to well-known recommender techniques, in terms of both similarity and diversity. Moreover, the experimental tests have shown that the proposed method is flexible enough, since a parameter of the adopted facility location model constitutes a regulator for the trade-off between similarity and diversity.