مؤتمر
Monitoring the citizens’ perception on urban security in Smart City environments
العنوان: | Monitoring the citizens’ perception on urban security in Smart City environments |
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المؤلفون: | CAGLIERO, LUCA, CERQUITELLI, TANIA, CHIUSANO, SILVIA ANNA, NARDONE, MARCO, VENTURINI, LUCA, Garino P., Pralio B. |
المساهمون: | Cagliero, Luca, Cerquitelli, Tania, Chiusano, SILVIA ANNA, Garino, P., Nardone, Marco, Pralio, B., Venturini, Luca |
بيانات النشر: | IEEE USA |
سنة النشر: | 2015 |
المجموعة: | PORTO@iris (Publications Open Repository TOrino - Politecnico di Torino) |
مصطلحات موضوعية: | smart city, Data mining, data warehousing |
الوصف: | Sensing the perception of citizens on urban security is a key point in Smart City management. To address non-emergency issues municipalities commonly acquire citizens' reports and then analyze them offline to perform targeted actions. However, since non-emergency data potentially scale towards Big Data there is a need for open standards and technologies to enable data mining and Business Intelligence analyses. The paper presents an integrated data mining and Business Intelligence architecture, relying on open technologies, for the analysis of non-emergency open data acquired in a Smart City context. Non-emergency data are first enriched with additional information related to the context of the warning reports and then analyzed offline to generate (i) informative dashboards based on a selection of Key Performance Indicators (KPIs), and (iii) association rules representing implications between warning categories and contextual information (e.g., city areas, districts, time slots). KPIs and rules are exploited to selectively notify to municipality actors (assessors, area operators) potentially critical situations, according to their role and authority. The experiments demonstrate the effectiveness of the proposed approach in a real Smart City context. |
نوع الوثيقة: | conference object |
وصف الملف: | STAMPA |
اللغة: | English |
العلاقة: | info:eu-repo/semantics/altIdentifier/wos/WOS:000380392100023; ispartofbook:Proceedings of the DAta Mining And Smart Cities Applications Workshop 2015; DAta Mining And Smart Cities Applications Workshop 2015 co-located with the 31st IEEE International Conference on Data Engineering (ICDE 2015); volume:31st IEEE International Conference on Data Engineering Workshops (ICDEW); firstpage:112; lastpage:116; numberofpages:5; http://hdl.handle.net/11583/2588158Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84944314484; http://dx.doi.org/10.1109/ICDEW.2015.7129559Test |
DOI: | 10.1109/ICDEW.2015.7129559 |
الإتاحة: | https://doi.org/10.1109/ICDEW.2015.7129559Test http://hdl.handle.net/11583/2588158Test |
حقوق: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.FCD76F93 |
قاعدة البيانات: | BASE |
DOI: | 10.1109/ICDEW.2015.7129559 |
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