| Title |
An Enhanced AdaBoost Classifier for Smart City Big Data Analytics |
| ID_Doc |
38312 |
| Authors |
Alotaibi, FS |
| Title |
An Enhanced AdaBoost Classifier for Smart City Big Data Analytics |
| Year |
2022 |
| Published |
Tehnicki Glasnik-Technical Journal, 16, 3 |
| DOI |
10.31803/tg-20220305125327 |
| Abstract |
The targeted goal regarding the smart cities is improving the goodness of their people and to raise the economic improvement in maintaining certain rate or level. Smart cities would increase all set of utilities, which involves healthcare, education, transportation and agriculture among other utilities. Smart cities are depended on the ICT framework, which includes the Internet of Things methodology. These methodologies make bulk of diverse in data, which referred to as big data. Moreover, these data have no purpose by themselves. Modules needed to improve as new to explain the large amount of data collected and one of the good methods to solve is to use the methods of big data analytics. It shall be maintained and designed through the methods of analytics to get good understanding and in order to increase the utilities of smart city. |
| Author Keywords |
AdaBoost; Big Data; Internet of Things; Linear Regression; Smart Cities |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000818884700003 |
| WoS Category |
Engineering, Multidisciplinary |
| Research Area |
Engineering |
| PDF |
https://hrcak.srce.hr/file/404711
|