Results 61 to 70 of about 2,788 (241)
Public Data in Crime Hot-Spots Assessment of Urban Environment
A significant problem of Russian environmental criminology is the lack of access to empirical data on violations committed in the urban environments for architects and urban planners. It turns out that all the recommendations we are developing to improve
Alexander G. Burtsev
doaj +1 more source
Crime Analysis and Prediction using Data Mining
Crime analysis and vaticination is a methodical approach for relating the crime. This system can prognosticate regions with a high probability of crime and fantasize about crime-prone areas. Using the conception of data mining we can prize preliminarily unknown, useful information from unshaped data. The birth of new information is prognosticated using
openaire +1 more source
Reflections on Comparative Teaching in Public Administration
ABSTRACT This article integrates our scholarly experience of teaching comparative public administration. In doing so, we offer a unique perspective as the co‐authors carry several diverse attributes, among them their countries of origin, current country in which they are teaching, and their academic experience.
Kim Moloney +6 more
wiley +1 more source
ABSTRACT This article analyzes the Taliban's post‐2021 governance model through the Islamic Public Administration (IPA) framework, focusing on justice, equality, and women's inclusion. It asks: (1) How does the Taliban's governance align with core IPA principles?
Parwiz Mosamim +1 more
wiley +1 more source
This paper presents a proposed framework for the crime and criminal data analysis and detection using Decision tree Algorithms for data classification and Simple K Means algorithm for data clustering.
Kadhim B. Swadi Al-Janabi
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EXPLORATION OF MASSIVE CRIME DATA SETS THROUGH DATA MINING TECHNIQUES
We incorporate two data mining techniques, clustering and association-rule mining, into a fruitful exploratory tool for the discovery of spatio-temporal patterns in data-rich environments. This tool is an autonomous pattern detector that efficiently and effectively reveals plausible cause-effect associations among many geographical layers.
Ickjai Lee, Vladimir Estivill-Castro
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Social, Technological, Economic, and Policy Factors in the Circular Economy Transition in Brazil
ABSTRACT A well‐functioning circular economy (CE) integrates resilience across economic, environmental, and social dimensions. This study identifies key drivers and barriers to Brazil's CE transition through 20 semi‐structured interviews with stakeholders. Major sociocultural barriers include inadequate education and limited CE awareness, while growing
Alejandro Gallego‐Schmid +9 more
wiley +1 more source
This study introduces a dual, data-driven framework for mapping organised crime in Italy by constructing and cross-validating two complementary, per-capita indices aggregated through a non-compensatory composite methodology.
Antonio Fabio Forgione +2 more
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An Optimization K-Modes Clustering Algorithm with Elephant Herding Optimization Algorithm for Crime Clustering [PDF]
The detection and prevention of crime, in the past few decades, required several years of research and analysis. However, today, thanks to smart systems based on data mining techniques, it is possible to detect and prevent crime in a considerably less ...
Farhad Soleimanian Gharehchopogh +1 more
doaj
ABSTRACT Despite the growth of eSports, the sector faces critical challenges related to its sustainability. This research analyzes these issues from an environmental, social, and governance (ESG) perspective. This paper consists of a systematic literature review on eSports and its implications for sustainability.
M. Ertz +5 more
wiley +1 more source

