Papers by Basilis Boutsinas
Springer proceedings in business and economics, 2023
Springer proceedings in business and economics, 2023
The interesting properties of scale-free and small-world networks recently observed have triggere... more The interesting properties of scale-free and small-world networks recently observed have triggered the attention of the research community to the study of real growing complex networks. In scale-free networks, most vertices are sparsely connected, while a few vertices are intensively connected to many others, indicating a "preferential linking" during growing. In small-world networks, the average length of the shortest path between two randomly chosen nodes is small. In this paper, we study the topological and dynamical properties of the network of shareholders (NOS) in 11593 different companies. Based on Graph Databases, we calculate all the well-known in the literature topological and dynamical properties of a network along with centrality measures of nodes of NOS, which quantify the role that a node plays in the overall structure of NOS. We prove that NOS is both a scale-free and smallworld network. An understanding of NOS helps in predicting the emergence of important new phenomena affecting portfolio management in general. Also, this work reveals the fact that graph databases could serve as an efficient tool for analyzing such network models for stock markets. To the best of the authors' knowledge, this is the first study calculating all the well-known in the literature topological and dynamical properties for Market Investments Networks, that is based on graph databases.
EDULEARN proceedings, Jul 1, 2022
Culture and Tourism in a Smart, Globalized, and Sustainable World
Health tourism is a special form of tourism that refers to international patients who wish to com... more Health tourism is a special form of tourism that refers to international patients who wish to combine diagnosis, prevention, or treatment with a holiday. In health tourism marketing, services are designed, produced, and promoted in the market to meet specific both health and tourism need or desires of the people who want and can accept them. In general, the rapid development of information and communication technologies (ICTs) in tourism sector has led to new touristic and thematic tourism products tailored to the preferences and characteristics of the tourists. The hotel industry could benefit from its cooperation with thematic tourism platforms to address the seasonality, expand its target audience, and enhance the effectiveness of its marketing strategy. Nevertheless, most tourism providers in Greece, being small family businesses, lack the necessary information and communication technologies (and inherent technologies) to become globally competitive. Given the growing trend in the interest in health tourism, this paper aims to present the case of “e-Tour Facilitator Platform,” an intelligent information system aiming at supporting an Innovative Health Tourism Strategy. The platform focuses on the end-users, namely the patients/tourists, matching their profile to characteristics of both medical and tourism services. It exploits state-of-the-art machine learning techniques in order both to help end-users to view/select the proper health tourism product (recommender system) with respect to their profile as well as to automatically handle their comments (text mining) for evaluating purposes.
Algorithms
Recommender systems aim to forecast users’ rank, interests, and preferences in specific products ... more Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists of the user’s feedback. One of the most challenging problems in collaborative filtering is handling users whose previous item purchase behavior is unknown, (e.g., new users) or products for which user interactions are not available, (e.g., new products). In this work, we address the cold-start problem in recommender systems based on frequent patterns which are highly frequent in one set of users, but less frequent or infrequent in other sets of users. Such discriminant frequent patterns can distinguish one target set of users from all other sets. The proposed methodology, first forms different clusters of old users and then discovers discriminant frequent patterns for each different such cluster of users and finally exploits the latter to hallu...
Recommender systems aim to forecast users’ rank, interests, and preferences in specific products ... more Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists of the user’s feedback. One of the most challenging problems in collaborative filtering is handling users whose previous item purchase behavior is unknown, (e.g., new users) or products for which user interactions are not available, (e.g., new products). In this work, we address the cold-start problem in recommender systems based on frequent patterns which are highly frequent in one set of users, but less frequent or infrequent in other sets of users. Such discriminant frequent patterns can distinguish one target set of users from all other sets. The proposed methodology, first forms different clusters of old users and then discovers discriminant frequent patterns for each different such cluster of users and finally exploits the latter to hallucinate the purchase behavior of new users. We also present empirical results to demonstrate the efficiency and accuracy of the proposed methodology.
Culture and Tourism in a Smart, Globalized, and Sustainable World
Due to the decentralization in the Semantic Web, ontologies can be designed and developed by diff... more Due to the decentralization in the Semantic Web, ontologies can be designed and developed by different communities, using different vocabularies and overlapping content. In this paper, we present a system for ontology exchanging between communities. More specifically, the system updates parts of ontologies, which are considered to be interesting by its designer, using the knowledge included in another. Interestingness is detected automatically utilizing a set of newly proposed measures. Updating is based on a new ontology mapping technique. Also, to facilitate the comparison, we present a survey of ontology mapping and merging/alignment techniques.
Ο αυτισμός είναι μία σύνθετη νευρο‐βιολογική διαταραχή που διαρκεί καθ’όλη τη διάρκεια ζωής του α... more Ο αυτισμός είναι μία σύνθετη νευρο‐βιολογική διαταραχή που διαρκεί καθ’όλη τη διάρκεια ζωής του ατόμου. Ο πληθυσμός των ατόμων που θεωρείται ότι έχουν αυτισμό είναι πολύ ετερογενής, με κάθε άτομο να παρουσιάζει ένα μοναδικό προφίλ από ικανότητες, αδυναμίες και ανάγκες. Είναι ανάγκη λοιπόν, να αναπτυχθούν υπηρεσίες για την εξειδικευμένη παροχή υποστήριξης των ατόμων με αυτισμό. Αντικείμενο του έργου είναι η ικανοποίηση αυτής της ανάγκης. Το έργο θα κάνει εφικτή την ανάπτυξη εξατομικευμένης παροχής υπηρεσιών φροντίδας και αρχικής διάγνωσης ατόμων διαφόρων ηλικιών και τύπων αυτισμού, μέσω της ανάπτυξης: Α) Ενός Πρότυπου Συστήματος Υποστήριξης Ατόμων με αυτισμό (ΠΣΥΑ), το οποίο θα βασίζεται στην ύπαρξη Δομών Αυτισμού όπως Ξενώνων Ημιαυτόνομης Διαβίωσης & Κέντρων Ημέρας αλλά και σε κατ’οίκον παρεμβάσεις. Το σύστημα αυτό θα προταθεί για εφαρμογή σε εθνικό επίπεδο. Β) Ενός Ευφυούς Συστήματος Υποστήριξης ατόμων με αυτισμό (ΕΣΥΑ) για την υποστήριξη, με τη μορφή αυτόματης παροχής πληροφοριών,...
2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019
There is a growing interest in the offering of novel alternative choices to users of recommender ... more 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. 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. It is 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. Also, our work can broaden the perspectives of the interaction and combination of different scientific fields in order to achieve the best possible results.
Recent Progress in Computational Sciences and Engineering, 2019
Lecture Notes in Computer Science, 2004
... Page 7. 180 Basilis Boutsinas and Ioannis X. Tsekouronas in terms of their physical character... more ... Page 7. 180 Basilis Boutsinas and Ioannis X. Tsekouronas in terms of their physical characteristics. The MONK's Problem data set, having 432 instances described by 8 attributes, describes an artificial domain over the same attribute space. ...
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Papers by Basilis Boutsinas