Application of Data Mining for Crime Analysis

Autor:	Aziz Nasridinov, Jeong-Yong Byun, Namkyoung Um, HyunSoon Shin
Rok vydání:	2015
Předmět:	Ranking Test data generation Computer science Order (business) Crime analysis Data mining Cluster analysis Enforcement computer.software_genre computer Task (project management)
Zdroj:	Lecture Notes in Electrical Engineering ISBN: 9783662478943
DOI:	10.1007/978-3-662-47895-0_61
Popis:	Data mining can be considered as a powerful tool that enables low enforcement and emergency agencies to discovery meaningful patterns in a large amount of danger situation. In this paper, we propose a data mining framework for predicting crimes. The proposed framework consists of the following modules: test data generation, classification, clustering and data ranking. We performed the experiments using various datasets in order to determine which one is potentially best for performing crime pattern prediction task.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::51c8b7a8c04d8d0f75bd22516d294347 https://doi.org/10.1007/978-3-662-47895-0_61 Zobrazit plný text záznamu