| Title | A Comprehensive Analysis for Crime Prediction in Smart City Using R Programming |
|---|---|
| ID_Doc | 41162 |
| Authors | Garg, R; Malik, A; Raj, G |
| Title | A Comprehensive Analysis for Crime Prediction in Smart City Using R Programming |
| Year | 2018 |
| Published | |
| Abstract | With the advancements in the technology, we are stepping forward to the future of Smart Cities. But sill we have a large number of hurdles to achieve that vision. One such problem faced by our society is the large number of crimes happening across cities. So, it is very cardinal that we find solutions to this problem. The aim of this paper is to scrutinize the crimes history in a city and derive insights which would lead to better public safety decisions. In this paper, the crime data of City of Baltimore is used. Firstly, the data collection phase of data analysis followed by a brief introduction to data cleaning is explained in this paper. Then an exploratory analysis is carried out in this paper based on R programming. Tableau is used to generate visualizations from this data. This paper will briefly discuss the process of data analysis and conclude the important insights based on this analysis. |
Similar Articles
| ID | Score | Article |
|---|---|---|
41247
|
Altomare, A; Catlett, C; Cesario, E; Talia, D How Data Analysis Supports Crime Prediction in Smart Cities(2017) | |
| 41513
|
Pradhan, I; Potika, K; Eirinaki, M; Potikas, P Exploratory Data Analysis and Crime Prediction for Smart Cities(2019) | |
| 43674
|
Catlett, C; Cesario, E; Talia, D; Vinci, A Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments(2019) | |
| 44128
|
Butt, UM; Letchmunan, S; Hassan, FH; Ali, M; Baqir, A; Koh, TW; Sherazi, HHR Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities(2021) | |
| 42901
|
Cesario, E Big data analytics and smart cities: applications, challenges, and opportunities(2023) |