Results 21 to 30 of about 880 (140)
GeoHealth, 2018 While the impact of climate on regional geopolitical stability and large‐scale conflict has garnered increased visibility in recent years, the effects of climate variability on interpersonal violent crime have received only limited scientific attention ...
Ryan D. Harp, Kristopher B. Karnauskas
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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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The Impact Of Corruption On Economic Development: Case Study Romania
Annals of Spiru Haret University Economic Series, 2016 In the last decade, Romania implemented a strong legislation and a comprehensive program of public financial management reform in order to improve the national fiscal transparency and to reduce corruption. Corruption is a growing phenomenon all over the
Luminita Ionescu, Florentin Caloian
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THEORY OF DEMOGRAPHIC RESEARCH IN THE UNIVERSITY SCIENTIFIC SCHOOL
Статистика и экономика, 2018 The scientific article is targeted at researchers of social processes in society attributable to the group of social anomalies. In particular, we are talking about one of the most painful issues: the influence of alcohol to the whole society.
N. V. Zvereva
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Analytical Capabilities of Statistical Methodology for Assessing Threats to Economic Security
Статистика и экономикаSubject. Reduction of threats to economic security based on the construction of multifactorial statistical models that quantify the impact of factors on the level of economic crime, in particular, on the scale of material damage from economic crime ...
D. V. Dianov, E. I. Kuznetsova
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Empirical Discriminative Tensor Analysis for Crime Forecasting [PDF]
, 2011 Police agencies have been collecting an increasing amount of information to better understand patterns in criminal activity. Recently there is a new trend in using the data collected to predict where and when crime will occur. Crime prediction is greatly beneficial because if it is done accurately, police practitioner would be able to allocate ...
Yang Mu +3 more
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FORECASTING QUARTERLY AGGREGATE CRIME SERIES* [PDF]
The Manchester School, 2005 In this paper we assess the forecasting performance of quarterly economic models of aggregate property and personal crime. We show that models that include long-run relationships between crime and its economic determinants tend to generate inaccurate forecasts, and attribute this to structural change.
MICHAEL P. CLEMENTS, ROBERT WITT
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Enhancing Spatial-Temporal Crime Forecasting Using Machine Learning for Law Enforcement
IEEE AccessTraditional crime forecasting often lacks the granularity and adaptability required to address evolving spatial and temporal crime patterns. Standard reactive models may fail to capture the complex, non-linear dynamics of urban crime, leaving law ...
Nanan Soekarna +4 more
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Deep Learning for Real Time Crime Forecasting
CoRR, 2017 4 pages, 6 figures, NOLTA ...
Wang, Bao +4 more
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International Legal Framework for Tokenized Fisheries Management
Novum JusThis article describes the adoption of tokenized fisheries management as a novel strategy for improving fisheries governance, combating fisheries crime, and promoting sustainable fishing practices.
IKA RISWANTI Putranti
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