Results 61 to 70 of about 2,819 (256)
Artificial Voices, Real Causes: The Dilemma of Virtual Influencer‐Driven Brand Activism
Psychology &Marketing, EarlyView.ABSTRACT Brands are more frequently adopting virtual influencers (VIs) to lead activism campaigns. However, little is known about when and how such activism effectively drives consumer engagement. This research, in Study 1, examines 14,464 Instagram posts from 18 diverse VIs using large‐scale analytics to assess engagement intensity and the dynamics of
Sampa Anupurba Pahi +4 more
wiley +1 more source
Public Data in Crime Hot-Spots Assessment of Urban Environment
Academia: Архитектура и строительство, 2019 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
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Crime Analysis and Prediction using Data Mining
International Journal of Advanced Research in Science, Communication and Technology, 2023 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
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Linking Environmental Health and Civic Health: An Analysis of Air Pollution and Charitable Giving
Nonprofit Management and Leadership, EarlyView.ABSTRACT This study examines the effect of air pollution on charitable giving. We suggest that the burdens associated with poor air quality are associated with a dampening of civic and philanthropic engagement. Analyzing 12 years of county‐level data from the United States with fixed‐effects OLS and instrumental variables regressions, we identify a ...
Gregory D. Saxton +6 more
wiley +1 more source
Reflections on Comparative Teaching in Public Administration
Public Administration and Development, EarlyView.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
Regional Studies, Regional ScienceThis 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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Journal of Kufa for Mathematics and Computer, 2011 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
Applied Artificial Intelligence, 2011 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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Public Administration and Development, EarlyView.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
An Optimization K-Modes Clustering Algorithm with Elephant Herding Optimization Algorithm for Crime Clustering [PDF]
Journal of Advances in Computer Engineering and Technology, 2020 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
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