Data analytics for air travel data: a survey and new perspectives

H Tian, M Presa-Reyes, Y Tao, T Wang… - ACM Computing …, 2021 - dl.acm.org
From the start, the airline industry has remarkably connected countries all over the world
through rapid long-distance transportation, helping people overcome geographic barriers …

Recommender systems applied to the tourism industry: a literature review

A Solano-Barliza, I Arregocés-Julio… - Cogent Business & …, 2024 - Taylor & Francis
Recommender systems-RS-have experienced exponential growth in various fields,
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …

Linked open data in location-based recommendation system on tourism domain: A survey

P Yochum, L Chang, T Gu, M Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

[PDF][PDF] A Behavior-Based Intrusion Detection System Using Ensemble Learning Techniques.

V Agate, DA Felice Maria, A De Paola, P Ferraro… - ITASEC, 2022 - iris.unipa.it
Abstract Intrusion Detection Systems (IDSs) play a key role in modern ICT security. Attacks
detected and reported by IDSs are often analyzed by administrators who are tasked with …

Destination management systems' adoption and management model: proposal of a framework

J Estevao, MJ Carneiro, L Teixeira - Journal of Organizational …, 2020 - Taylor & Francis
The fast development in information and communication technologies transformed the
tourism sector, raising relevant questions regarding the role of destination management …

Anomaly Detection for Reoccurring Concept Drift in Smart Environments

V Agate, S Drago, P Ferraro… - 2022 18th International …, 2022 - ieeexplore.ieee.org
Many crowdsensing applications today rely on learning algorithms applied to data streams
to accurately classify information and events of interest in smart environments. Unfor …

A multi‐agent system for itinerary suggestion in smart environments

A De Paola, S Gaglio, A Giammanco… - CAAI Transactions …, 2021 - Wiley Online Library
Modern smart environments pose several challenges, among which the design of intelligent
algorithms aimed to assist the users. When a variety of points of interest are available, for …

A Privacy-Preserving System for Enhancing the QoI of Collected Data in a Smart Connected Community

V Agate, P Ferraro, GL Re - 2024 IEEE Symposium on …, 2024 - ieeexplore.ieee.org
The Smart Connected Communities paradigm, which synergistically integrates smart
technologies with the surrounding environment, has paved the way for a new generation of …

A semantic social recommender system using ontologies based approach for Tunisian tourism

M Frikha, M Mhiri, F Gargouri - 2015 - gredos.usal.es
Tunisia is well placed in terms of medical tourism and has highly qualified and specialized
medical and surgical teams. Integrating social networks in Tunisian medical tourism …

A novel ontology framework supporting model-based tourism recommender

HQ Dung, LTQ Le, HHT Nguyen… - … Journal of Artificial …, 2021 - publikace.k.utb.cz
In this paper, we present a tourism recommender framework based on the cooperation of
ontological knowledge base and supervised learning models. Specifically, a new tourism …