Results 81 to 90 of about 5,507,676 (170)
Arabic Crime Tweet Filtering and Prediction Using Machine Learning
Crime is undeniably rising, thus negatively affecting countries’ economies. Despite several efforts to study crime prediction to reduce crime rates, few studies take the timeline factor into account when extracting crime-related tweets to predict crime ...
Zainab Khyioon Abdalrdha +2 more
doaj +1 more source
i-JEN: Visual interactive Malaysia crime news retrieval system [PDF]
Supporting crime news investigation involves a mechanism to help monitor the current and past status of criminal events. We believe this could be well facilitated by focusing on the user interfaces and the event crime model aspects.
Crestani, Fabio +5 more
core +2 more sources
The great property crime drop: a regional analysis [PDF]
Aim: To describe and discuss regional variation between parts of NSW in the rate at which theft and robbery offences have fallen. Method: Percentage changes in rates of offending in robbery and various categories of theft were calculated for the period ...
Jessie Holmes, Don Weatherburn
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Criminal activities are a critical obstacle to socioeconomic development and must be controlled. However, human surveillance-based control methods are prone to error, raise legal concerns, and necessitate the development of more robust alternatives. This
Esen Gül İlgün, Murat Dener
semanticscholar +1 more source
Crime Prediction Methods Based on Machine Learning: A Survey
Junxiang Yin
semanticscholar +1 more source
Problem solving justice: the case for community courts in Ireland / The National Crime Council
National Crime ...
National Crime Council, The
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Different parts of the world have recorded an escalating number of criminal incidents, burdened the judicial system, and adversely impacted national security and economic development.
Rami Ayied Alshahrani +1 more
doaj +1 more source
Urban crime prediction based on spatio-temporal Bayesian model. [PDF]
Hu T, Zhu X, Duan L, Guo W.
europepmc +1 more source
Crime prediction before during and after COVID 19 using machine learning and RNN LSTM models
One of society’s foremost challenges is crime, and over the years, statistical methods have been employed for crime prediction, albeit with limited success rates.
Mohammed Abdul Shafee +3 more
doaj +1 more source
author, survey administration and data processing: Stan WoodwellCaption titleThis archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program.
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