Crimes Prediction Using Spatio-Temporal Data and Kernel Density Estimation

被引：1

作者：

Putri, Vinnia Kemala ^{[1
,2
]}

Kurniadi, Felix Indra ^{[3
]}

机构：

[1] Univ Indonesia, Jakarta, Indonesia

[2] Fak Ilmu Komputer, Jakarta, Indonesia

[3] Tanri Abeng Univ, Kota Jakarta Selatan, Indonesia

来源：

2019 ASIA PACIFIC CONFERENCE ON RESEARCH IN INDUSTRIAL AND SYSTEMS ENGINEERING (APCORISE) | 2019年

关键词：

crimes prediction; density estimation; spatial data mining; data integration;

D O I：

10.1109/APCORISE46197.2019.9318972

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study presents a method to predict crimes by using multiple data sources i.e. spatio-temporal crime dataset and zoning district dataset. The contribution of this study lies in the use of Kernel Density Estimation (KDE) and zoning district dataset to address the issue of crimes prediction. The experiments were performed by training Gradient Boosting Machine (GBM) as a classifier on some subset of features. The best result was achieved by using all features including KDE with smoothing and zoning district feature, namely with multiclass logarithmic loss 2.356104 on validation set and 2.35443 on test set.

引用

页码：18 / 23

页数：6

共 50 条

[1] Clustering Spatio-temporal Trajectories Based on Kernel Density Estimation
Zhang, Pengdong
Deng, Min
Van de Weghe, Nico
[J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT 1, 2014, 8579 : 298 - 311
[2] Spatio-temporal prediction of crimes using network analytic approach
Dash, Saroj Kumar
Safro, Ilya
Srinivasamurthy, Ravisutha Sakrepatna
[J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 1912 - 1917
[3] Density estimation over spatio-temporal data streams
Amiri, Aboubacar
Dabo-Niang, Sophie
[J]. ECONOMETRICS AND STATISTICS, 2018, 5 (01) : 148 - 170
[4] Estimation and prediction of weather variables from surveillance data using spatio-temporal Kriging
Dalmau, Ramon
Perez-Batlle, Marc
Prats, Xavier
[J]. 2017 IEEE/AIAA 36TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), 2017,
[5] Spatio-temporal photon density estimation using bilateral filtering
Weber, M
Milch, M
Myszkowski, K
Dmitriev, K
Rokita, P
Seidel, HP
[J]. COMPUTER GRAPHICS INTERNATIONAL, PROCEEDINGS, 2004, : 120 - 127
[6] Prediction of spatio-temporal AQI data
Kim, Kyeong Eun
Ma, Mi Ru
Lee, Kyeong Won
[J]. COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2023, 30 (02) : 119 - 133
[7] A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation
Hu, Yujie
Wang, Fahui
Guin, Cecile
Zhu, Haojie
[J]. APPLIED GEOGRAPHY, 2018, 99 : 89 - 97
[8] Approach of the spatio-temporal prediction using vectorial geographic data
MezzadriCenteno, T
SaintJoan, D
Desachy, J
Vidal, F
[J]. REMOTE SENSING FOR GEOGRAPHY, GEOLOGY, LAND PLANNING, AND CULTURAL HERITAGE, 1996, 2960 : 96 - 103
[9] Estimation of Housing Price Variations Using Spatio-Temporal Data
Chica-Olmo, Jorge
Cano-Guervos, Rafael
Chica-Rivas, Mario
[J]. SUSTAINABILITY, 2019, 11 (06)
[10] An enhancement of location estimation and disaster event prediction using density based SPATIO-temporal clustering with GPS
Ravikumar, K.
RajivKannan, A.
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (5-6) : 3929 - 3941

← 1 2 3 4 5 →