The Los Angeles Police Department (LAPD) often faces the task of predicting crime before it happens to better safeguard the community. The LAPD has a historical record of over a million incidences. Statistical analysis of some of these incidences can aid the LAPD in crime prevention by identifying patterns and trends. The LAPD can then allocate resources accordingly. This thesis looks at crimes in Los Angeles from 2005 to 2009 though focuses on crimes in the most recent year. It uses clustering and regression techniques in addition to contingency tables and Chi-squared tests to find clear crime trends. Historical weather data and demographic data from the U.S. 2010 Census are included as part of the analysis in order to determine some...
This paper suggests a novel clustering method for analyzing the National Incident-Based Reporting Sy...
Machine learning and data mining have been used for numerous society enrichment purposes, one of the...
Most types of crime are known to exhibit seasonal oscillations, yet the annual variations in the amp...
The Los Angeles Police Department (LAPD) often faces the task of predicting crime before it happens ...
Sharing city's operational data with public is a recent trend that can help in identifying deficienc...
Crime occurring in US border cities is a topic that has been widely discussed and drawn much-needed ...
Interest in modeling contemporary crime trends, a task that has historically been considered valuabl...
Gang homicide rates have fluctuated considerably over the last three decades, as the problem spread ...
Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and tr...
It is the responsibility of the San Francisco Police Department to protect the local community from ...
A summary of statistical data submitted by the city of Los Angeles to the California State Departmen...
ABSTRACT This paper focuses on finding spatial and temporal criminal hotspots. It analyses two diff...
Includes bibliographical references (pages 106-112)The intent of this study was to analyze and to de...
In this project we aim to use mathematical and computational modeling to identify factors influencin...
This study introduces filtering theory from housing economics to criminology and measures the age of...
This paper suggests a novel clustering method for analyzing the National Incident-Based Reporting Sy...
Machine learning and data mining have been used for numerous society enrichment purposes, one of the...
Most types of crime are known to exhibit seasonal oscillations, yet the annual variations in the amp...
The Los Angeles Police Department (LAPD) often faces the task of predicting crime before it happens ...
Sharing city's operational data with public is a recent trend that can help in identifying deficienc...
Crime occurring in US border cities is a topic that has been widely discussed and drawn much-needed ...
Interest in modeling contemporary crime trends, a task that has historically been considered valuabl...
Gang homicide rates have fluctuated considerably over the last three decades, as the problem spread ...
Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and tr...
It is the responsibility of the San Francisco Police Department to protect the local community from ...
A summary of statistical data submitted by the city of Los Angeles to the California State Departmen...
ABSTRACT This paper focuses on finding spatial and temporal criminal hotspots. It analyses two diff...
Includes bibliographical references (pages 106-112)The intent of this study was to analyze and to de...
In this project we aim to use mathematical and computational modeling to identify factors influencin...
This study introduces filtering theory from housing economics to criminology and measures the age of...
This paper suggests a novel clustering method for analyzing the National Incident-Based Reporting Sy...
Machine learning and data mining have been used for numerous society enrichment purposes, one of the...
Most types of crime are known to exhibit seasonal oscillations, yet the annual variations in the amp...