Mining of High Average-Utility Alarm Rules in Telecommunication Network Data

التفاصيل البيبلوغرافية
العنوان: Mining of High Average-Utility Alarm Rules in Telecommunication Network Data
المؤلفون: Arslan, H., Akbulut, U., Cetin, A., Ä°plikçi, Serdar
بيانات النشر: Institute of Electrical and Electronics Engineers Inc.
سنة النشر: 2023
المجموعة: Pamukkale University Repository / Pamukkale Üniversitesi Açık Erişim Arşivi
مصطلحات موضوعية: Alarm Data Analysis, Alarm Management, Association Rule Mining, High Average-Utility Itemset Mining, Alarm systems, Data mining, Information management, Mobile telecommunication systems, Wireless networks, Alarm data analyse, Average utilities, Itemset, Mobile network operators, Network data, Network operations centers, Telecommunications networks, Utility itemsets minings, Association rules
الوصف: 2023 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2023 -- 25 June 2023 through 28 June 2023 -- 191750 ; Mining huge number of alarm events data collected at the network operations center of a mobile network operator has become a challenging problem in the mobile communication area due to the fact that alarm events are heterogeneous and that they have different significance levels and may occur more than once in a certain time-window. In this study, the High Average-Utility Itemset Mining (HAUIM) approach is adopted to identify high average-utility itemsets in the alarm events data collected at the network operations center of Turkcell, which is a major mobile network operator in Turkiye. Moreover, a new interestingness measure has been proposed to obtain association rules between high average-utility itemsets. Experimental results have shown the efficiency of the proposed system with respect to compression and prediction performances. © 2023 IEEE. ; 5210123; Türkiye Bilimsel ve Teknolojik AraÅŸtırma Kurumu, TÃœBÄ°TAK ; This work is supported by the Scientific and Technological Research Council of Turkiye (TUBITAK) and Turkcell Telecommunication Services Inc. under the University-Industry Collaboration Program with the project number 5210123.
نوع الوثيقة: conference object
اللغة: English
ردمك: 979-83-503-2641-3
العلاقة: 2023 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2023; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://doi.org/10.1109/ITC-CSCC58803.2023.10212557Test; https://hdl.handle.net/11499/52867Test; 2-s2.0-85169819439
DOI: 10.1109/ITC-CSCC58803.2023.10212557
الإتاحة: https://doi.org/10.1109/ITC-CSCC58803.2023.10212557Test
https://hdl.handle.net/11499/52867Test
حقوق: none
رقم الانضمام: edsbas.72CE6446
قاعدة البيانات: BASE
الوصف
ردمك:9798350326413
DOI:10.1109/ITC-CSCC58803.2023.10212557