Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3564
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dilek I. | - |
dc.contributor.author | Oguz K. | - |
dc.contributor.author | Demir A. | - |
dc.date.accessioned | 2023-06-16T15:00:48Z | - |
dc.date.available | 2023-06-16T15:00:48Z | - |
dc.date.issued | 2022 | - |
dc.identifier.isbn | 9.78167E+12 | - |
dc.identifier.uri | https://doi.org/10.1109/IISEC56263.2022.9998278 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14365/3564 | - |
dc.description | 3rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- 185735 | en_US |
dc.description.abstract | The wide distribution of access points in Izmir allows the collected information to be employed in smart city algorithms. In this study, we analyze the information that has been made publicly available by Izmir Metropolitan Municipality. We first show that the data is reliable, then analyze it from the perspectives of holidays, seasonal trends, and the COVID-19 pandemic. The study also shows that the information can be used for crowd analysis and forecasting, using K-means and SARIMA algorithms, respectively. © 2022 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 3rd International Informatics and Software Engineering Conference, IISEC 2022 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | access point | en_US |
dc.subject | behaviour analysis | en_US |
dc.subject | smart city | en_US |
dc.subject | wi-fi | en_US |
dc.subject | K-means clustering | en_US |
dc.subject | Wireless local area networks (WLAN) | en_US |
dc.subject | Access points | en_US |
dc.subject | Behavior analysis | en_US |
dc.subject | Crowd analysis | en_US |
dc.subject | K-means | en_US |
dc.subject | Metropolitan municipalities | en_US |
dc.subject | Seasonal trends | en_US |
dc.subject | WI - FI | en_US |
dc.subject | Smart city | en_US |
dc.title | Behaviour Analysis of Izmir Residents Using Public Wi-Fi Access Point Usage | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1109/IISEC56263.2022.9998278 | - |
dc.identifier.scopus | 2-s2.0-85146368650 | en_US |
dc.authorscopusid | 58067769200 | - |
dc.authorscopusid | 57549355800 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | N/A | - |
dc.identifier.wosquality | N/A | - |
item.grantfulltext | reserved | - |
item.openairetype | Conference Object | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 05.05. Computer Engineering | - |
crisitem.author.dept | 09.01. Basic Medical Sciences | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
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2655.pdf Restricted Access | 788.81 kB | Adobe PDF | View/Open Request a copy |
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