Výsledky vyhledávání

A Recommendation Engine to Aid in Identifying Crime Patterns

Publikováno v: INFORMS Journal on Applied Analytics. 49:154-166

The authors describe the development of a set of three supervised machine-learning models, which the New York City Police Department uses to help identify related crimes, including burglaries, robberies, and grand larcenies.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fd9c5d00b7b6f402587c9d86eaf1a39
https://doi.org/10.1287/inte.2019.0985

Zobrazit plný text záznamu

Plný text ve formátu HTML

The New York City Police Department’s Domain Awareness System

Autor: Anthony Tasso, Michael Joy, E. S. Levine, Jessica Tisch

Publikováno v: Interfaces. 47:70-84

The New York City Police Department (NYPD), the largest state or local police force in the United States, is charged with securing New York City from crime and terrorism. The NYPD’s Domain Awareness System (DAS) is a citywide network of sensors, da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::41516041db4d64317c69d2fe5439d134
https://doi.org/10.1287/inte.2016.0860

Zobrazit plný text záznamu

Improving risk matrices: the advantages of logarithmically scaled axes

Autor: E. S. Levine

Publikováno v: Journal of Risk Research. 15:209-222

Risk matrices are a common tool used throughout the public and private sector to assess and manage risk qualitatively. However, these matrices have well-documented shortcomings when used for either assessment or management that can be shown by assumi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::575baf4ef281115c64441ce59140c585
https://doi.org/10.1080/13669877.2011.634514

Zobrazit plný text záznamu

Plný text ve formátu HTML

Estimating Conditional Probabilities of Terrorist Attacks: Modeling Adversaries with Uncertain Value Tradeoffs

Autor: E. S. Levine

Publikováno v: Risk Analysis. 32:294-303

Many analyses conducted to inform security decisions depend on estimates of the conditional probabilities of different attack alternatives. These probabilities are difficult to estimate since analysts have limited access to the adversary and limited

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8c6484af204824d079f83fd874d399d
https://doi.org/10.1111/j.1539-6924.2011.01655.x

Zobrazit plný text záznamu

Elektronická kniha

Applying Analytics : A Practical Introduction

Autor: E. S. Levine

Newcomers to quantitative analysis need practical guidance on how to analyze data in the real world yet most introductory books focus on lengthy derivations and justifications instead of practical techniques. Covering the technical and professional s

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání