dc.contributor.author | Xu, Nuo | |
dc.contributor.author | Arneberg, Simon P. | |
dc.contributor.author | Dave, Rushit | |
dc.date.accessioned | 2022-10-27T11:43:20Z | |
dc.date.available | 2022-10-27T11:43:20Z | |
dc.date.issued | 2022-04 | |
dc.identifier.uri | http://digital.library.wisc.edu/1793/83728 | |
dc.description | Color poster with text, images, charts, and graphs. | en_US |
dc.description.abstract | As modern cities continue to develop, smart devices are being used to improve citizens’ lives. As these devices become more sophisticated, the amount of information that they collect increases. A Smart City is a city that uses the large amount of generated data to constantly improve the services offered to the people that live there. Data mining techniques can be used to sift through the data and mine out meaningful patterns. | en_US |
dc.description.sponsorship | University of Wisconsin--Eau Claire Office of Research and Sponsored Programs | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | USGZE AS589; | |
dc.subject | Smart devices | en_US |
dc.subject | Smart cities | en_US |
dc.subject | Data mining | en_US |
dc.subject | Posters | en_US |
dc.subject | Department of Computer Science | en_US |
dc.title | Integrating Data Mining Methods Across All Domains of a Smart City : A Comprehensive Survey of Existing Research | en_US |
dc.type | Presentation | en_US |