عرض بسيط للتسجيلة

المؤلفElnour, Mariam
المؤلفFadli, Fodil
المؤلفMeskin, Nader
المؤلفPetri, Ioan
المؤلفRezgui, Yacine
تاريخ الإتاحة2024-03-18T08:38:51Z
تاريخ النشر2023-02
اسم المنشورACM International Conference Proceeding Series
المعرّفhttp://dx.doi.org/10.1145/3587716.3587749
الاقتباسElnour, M., Fadli, F., Meskin, N., Petri, I., & Rezgui, Y. (2023, February). Analysis of unsupervised consumption anomaly detection in sports facilities using artificial intelligence-based data analytics: A case study. In Proceedings of the 2023 15th International Conference on Machine Learning and Computing (pp. 197-204).
الترقيم الدولي الموحد للكتاب 978-145039841-1
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85173845784&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53145
الملخصSports facilities have exceptionally high energy demand due to the extensive operational requirements and high-occupancy seasonal rates. Towards promoting efficient energy usage and minimal losses, consumption anomaly detection in sports facilities is addressed in this work using Artificial intelligence (AI)-based analytics approaches. Traditional AI-based data analytics approaches are applied in a practical context for a local sports complex. The actual unlabeled operation data of the facility are used and a case-specific comparative analysis of the various approaches is presented where AI-based data labeling is used. The characteristics of the different algorithms are contextually discussed. It was found that the size and distribution of the training datasets influence the performance of the different algorithms. This study represents preliminary findings on the topic with a promising potential for further research.
راعي المشروعThis publication was made possible by NPRP grant No. NPRP12S-0222-190128.
اللغةen
الناشرAssociation for Computing Machinery (ACM)
الموضوعanomaly detection
artificial intelligence
data analytics
Machine learning
sports facility
العنوانAnalysis of Unsupervised Consumption Anomaly Detection in Sports Facilities using Artificial Intelligence-Based Data Analytics: A Case Study
النوعConference Paper
الصفحات197-204
dc.accessType Full Text


الملفات في هذه التسجيلة

Thumbnail

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة