Integrating Data Mining Methods Across all Domains of a Smart City

Journal of computer sciences

article

Rushit Dave¹  Nuo Xu¹  Simon Arneberg¹  Naeem Seliya¹  Mounika Vanamala¹ 

[1] Department of Computer Science, University of Wisconsin Eau Claire

关键词: Data Mining;    Smart City;    Machine Learning;    Big Data;    IoT;    Smart Sensor;    Traffic Management System;    Cloud Computing;    Edge Computing;   

DOI  :  10.3844/jcssp.2022.396.414

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

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 a 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. Our research project focused on seven different disciplines within a Smart City, surveying the current state of research in each category.  Smart Transportation is focused on decreasing congestion, increasing efficiency in public transportation, and improving the safety of pedestrians. Smart Healthcare is focused on modern healthcare monitoring systems and ambulance dispatch services. Smart Energy is focused on decreasing energy consumption and promoting green energy through WiFi thermostat optimization and a smart electric grid. Smart City Utilities is focused on creating algorithms to improve waste collection techniques and air quality. Smart City Planning is focused on land use and the placement of green spaces. Smart Networks and Privacy is focused on secure networks. Lastly, the Smart IoT (Internet of Things) Application is focused on next-generation networks like 5G.

【 授权许可】

CC BY