Relevant bibliographies by topics / Crime analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Crime analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Crime analysis"

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Evtushenko, I. I. "SITUATION AND ANALYSIS OF CRIMES AGAINST PROPERTY IN THE REPUBLIC OF CRIMEA (FOR THE PERIOD FROM 2015 TO 2020)." Scientific Notes of V. I. Vernadsky Crimean Federal University. Juridical science 7 (73), no. 3 (1) (2022): 170–80. http://dx.doi.org/10.37279/2413-1733-2021-7-3(1)-170-180.

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A criminological analysis of the situation and dynamics of crime against property in the Republic of Crimea (for the period from 2015 to 2020) in comparison with all-Russian indicators and indicators of the Southern Federal District was carried out, similar features and differences were identified, an attempt was made to study the causal complex, events in the Republic of Crimea that could affect the dynamics and level of mercenary crime in different periods of time. The analysis was carried out for each type of crimes against property provided for by the Criminal Code of the Russian Federatio
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Kumrinisa, Abdurasulova. "ANALYSIS OF QUANTITATIVE AND QUALITATIVE INDICATORS OF WOMEN'S CRIME." International Journal of Law And Criminology 3, no. 12 (2023): 16–22. http://dx.doi.org/10.37547/ijlc/volume03issue12-04.

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The article provides an analysis of the quantitative and qualitative features of female crime. The socio-psychological determinants of female criminal activity are given. The main types of crimes committed by women are considered. The emphasis is placed on the fact that preventing violent crime among women is an important factor in curbing crime in general. The crime of women differs from the crime of men in its quantitative indicators, the nature of the crimes and their consequences, the methods and instruments of commission, the role played by women,the choice of the victim of a criminal att
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Srihitha, Potharaju, Jillapalli Nikitha, Gaikwad Sneha, Dr Diana Moses, Dr P. Lavanya, and Dr Diana Moses. "CRIME DATA ANALYSIS." International Journal of Engineering Applied Sciences and Technology 10, no. 01 (2025): 43–54. https://doi.org/10.33564/ijeast.2025.v10i01.005.

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This dataset holds crime rates of many U.S. cities and states along with precise information on violent and property crimes and demographic data including population counts. The dataset has a datestamped record for every entry so that one can analyze across different time frames, with the time attribute starting from the year 2022 and continuing through at least 2025. The central emphasis lies with the frequency of certain categories of crimes—violent crimes (murder, rape, robbery, aggravated assault) and property crimes (burglary, larceny, motor vehicle theft)—and the respective population fi
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Swamy, Mr K. K., Mrs SRILATHA PULI, S. SWETHA, B. SHARANYA, A. ANUHYA, and J. SHREYAS. "CRIME ANALYSIS USING MACHINE LEARNING." YMER Digital 21, no. 05 (2022): 412–16. http://dx.doi.org/10.37896/ymer21.05/44.

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Crimes are the significant threat to the humankind. as crimes are increasing at a rapid rate approach for identifying trends in crime. Our project can predict regions which have high probability for crime occurrence and can visualize crime prone areas by visual representation of data by bar graphs, pie charts etc. It speed up the classification of criminal activities by calculating the average accuracy rate .It uses crime data set and predicts the types of crimes in a particular area which help in Accurate results based on the predictive analysis of logistic regression. The objective would be
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Lakušić, Milovan, Sofija Lolić, and Julijana Račić. "Analysis and assessment of money laundering risks." Megatrend revija 19, no. 3 (2022): 171–82. http://dx.doi.org/10.5937/megrev2202171l.

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In this paper, money laundering is primarily highlighted as a crime, the concept and essence of this crime. Due to the prevalence of this crime, at the national and international level, the chapter is dedicated to the analysis and assessment of the risk of money laundering, as something that is constantly working on government agencies and international organizations. The crime of money laundering is associated with a large number of crimes against the economy as well as certain corrupt crimes, and it is necessary to determine the degree of danger of other crimes that are committed in order to
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D G, Kavyashree, and Amruth M M. "Crime Trends Analysis." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–8. https://doi.org/10.55041/ijsrem.spejss010.

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Abstract—Crime has become a growing concern in urban and rural regions alike, posing significant challenges to law enforcement agencies and policymakers. The analysis and forecasting of crime rates through data-driven methods is the main topic of this paper. This study intends to uncover crime patterns, hotspot regions, and temporal trends by utilizing statistical approaches, machine learning techniques, and historical crime data. The system integrates real-time data (where available) and uses predictive models to forecast the likelihood of various types of crimes in specific areas. The primar
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Gupta, Anuj Kumar, Varun Kumar Reddy Buddula, Achuthananda Reddy Polu, and Bhumeka Narra. "An Analysis of Crime Prediction and Classification Using Data Mining Techniques." International Journal of Advanced Research in Engineering and Applied Sciences 10, no. 05 (2025): 43–56. https://doi.org/10.63665/ijareas.v10i05.01.

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Crime is a serious and widespread problem in their society, thus preventing it is essential. Assignment. A significant number of crimes are committed every day. One tool for dealing with model crime is data mining. Crimes are costly to society in many ways, and they are also a major source of frustration for its members. A major area of machine learning research is crime detection. This paper analyzes crime prediction and classification using data mining techniques on a crime dataset spanning 2006 to 2016. This approach begins with cleaning and extracting features from raw data for data prepar
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Et. al., R. Ananda DhanaLakshmi,. "COMPARATIVE ANALYSIS OF CRIME TYPE PREDICTION." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 963–67. http://dx.doi.org/10.17762/itii.v9i2.437.

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Crime analysis and prediction is a logical approach for analysing and identifying different patterns, relationships and trends in crime. The system can predict the area which have high probability for crime occurrence and indicate crime prone areas. It will be useful for the law enforcement agencies to speed up the process of solving crimes with the increasing computerized systems and with the help of crime data analysts. Here we have an approach between computer science and criminal justice to develop a data mining procedure that can help solve crimes faster. Analysis of police data createawa
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Lee, Jiyoung, Michael Leitner, and Gernot Paulus. "Spatiotemporal Analysis of Nighttime Crimes in Vienna, Austria." ISPRS International Journal of Geo-Information 13, no. 7 (2024): 247. http://dx.doi.org/10.3390/ijgi13070247.

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Studying the spatiotemporal dynamics of crime is crucial for accurate crime geography research. While studies have examined crime patterns related to weekdays, seasons, and specific events, there is a noticeable gap in research on nighttime crimes. This study focuses on crimes occurring during the nighttime, investigating the temporal definition of nighttime crime and the correlation between nighttime lights and criminal activities. The study concentrates on four types of nighttime crimes, assault, theft, burglary, and robbery, conducting univariate and multivariate analyses. In the univariate
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Lama, Swikar, and Sikandar Singh Rathore. "Crime Mapping and Crime Analysis of Property Crimes in Jodhpur." International Annals of Criminology 55, no. 2 (2017): 205–19. http://dx.doi.org/10.1017/cri.2017.11.

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AbstractThis study is based on crime mapping and crime analysis of property crimes in Jodhpur. The property crimes which were selected were house breaking, auto thefts and chain snatching. Data from police stations were used to generate the maps to locate hot spots of crimes. The profile of these hot spots was analyzed through observations supplemented with interviews of police officers and public 100 cases of house breaking and 100 cases of auto thefts were further analyzed to understand the contexts which lead to these crimes. These contexts are in consonance with situational crime preventio
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Dissertations / Theses on the topic "Crime analysis"

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Condirston, Erin. "Traditional Crime vs. Corporate Crime: A Comparative Risk Discourse Analysis." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20315.

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With the knowledge that risk has become an omnipresent concept used to understand various social problems, this study aims to fill a perceived gap in literature by investigating the way in which risk discourse is applied to understand different categories of crime, namely traditional crime and corporate crime. It is hypothesized that risk logic is heavily applied to the understanding of traditional crime, with minimal attribution to conversations surrounding corporate crime. The pervasiveness of risk as a technique or tactic of government renders the study of its application to different types
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Polat, Esra. "Spatio-temporal Crime Prediction Model Based On Analysis Of Crime Clusters." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608881/index.pdf.

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Crime is a behavior disorder that is an integrated result of social, economical and environmental factors. In the world today crime analysis is gaining significance and one of the most popular subject is crime prediction. Stakeholders of crime intend to forecast the place, time, number of crimes and crime types to get precautions. With respect to these intentions, in this thesis a spatio-temporal crime prediction model is generated by using time series forecasting with simple spatial disaggregation approach in Geographical Information Systems (GIS). The model is generated by utilizing crime d
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Zugschwerdt, Marc. "'Designing out Crime' – A Spatial and Temporal Analysis of Crime in Umeå." Thesis, Umeå universitet, Kulturgeografi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-137192.

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The creation of sustainable and safe environments nowadays moves more and more into focus for urban planners and architects. Cities should be designed in a way to contribute to social cohesion, shaping an inclusive environment and focusing on the wellbeing of its citizens. Nevertheless, these processes can be undermined by public crime and the fear of crime, which is not only affecting aspects of personal safety but also affecting the people’s behaviour. Reasons why criminality occurs are manifold, impacted by a dynamic set of socioeconomic, demographic, personal but also environmental aspects
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Chester, Helen Jayne. "Property crime in context : a multi-level analysis of the British Crime Survey." Thesis, University of Manchester, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520721.

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Van, de Ven Jennifer T. C. "Content analysis of Canadian television crime news." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0011/MQ36854.pdf.

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FICARA, Annamaria. "Social network analysis approaches to study crime." Doctoral thesis, Università degli Studi di Palermo, 2022. http://hdl.handle.net/10447/537005.

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Social Network Analysis (SNA) studies groups of individuals and can be applied in a lot of areas such us organizational studies, psychology, economics, information science and criminology. One of the most important results of SNA has been the definition of a set of centrality measures (e.g., degree, closeness, betweenness, or clustering coefficient) which can be used to identify the most influential people with respect to their network of relationships. The main problem with computing centrality metrics on social networks is the typical big size of the data. From the computational point o
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Payne, Troy C. "Does Changing Ownership Change Crime? An Analysis of Apartment Ownership and Crime in Cincinnati." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1288968354.

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Millar, Jack William Logan. "Beer fronts and crime waves : a GIS analysis of weather, alcohol, and violent crime /." Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1594501421&sid=9&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Nilsson, Linn. "The portrayal of Crime : Printed news media's representation of crime in Malmö." Thesis, Malmö universitet, Institutionen för kriminologi (KR), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-45495.

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In today's modern society we are highly exposed to different media in our everyday life, and individuals may spend a large part of their time taking part in media debates, news and other information shared on different media channels. Through this, news media have become an influential factor for how individuals in today's society perceive and construct reality, and consequently the public's perception of crime. This critical analysis strives to elucidate how crime in Malmö is presented in Swedish newspapers. This report is centered on which discourses emerge throughout the chosen empirical m
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Sundberg, Jacob. "Linking crime through modus operandi. On linking Series of Crime into Single Offenders through Sructured Collection of Crime Scene Information." Thesis, Malmö universitet, Fakulteten för hälsa och samhälle (HS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-25526.

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The current paper is aimed at providing an overview of the current state of research regarding the potential of linking series of crimes to single offenders through repeated modus operandi behaviors. A systematic literature review was conducted to document findings from previous evaluation research as to the predictive accuracy of crime linkage specific to residential burglary. The findings indicate that predictions of linked burglaries can be made with moderate to high predictive accuracy. In order to get an understanding of the extent to which residential burglary offenders repeat their crim
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Books on the topic "Crime analysis"

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Haelterman, Harald. Crime Script Analysis. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-54613-5.

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1971-, Nahoun Joel D., ed. Applied crime analysis. Butterworth-Heinemann, 2001.

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Burrows, John. Retail crime: Prevention through crime analysis. Home Office, 1988.

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Grana, Glenn, and James Windell. Crime and Intelligence Analysis. Routledge, 2016. http://dx.doi.org/10.1201/9781315380766.

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Walker, Jeffery T., and Grant R. Drawve. Foundations of Crime Analysis. Routledge, 2018. http://dx.doi.org/10.4324/9781315716442.

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National Center for the Analysis of Violent Crime (U.S.), ed. VICAP crime analysis report. U.S. Dept. of Justice, Federal Bureau of Investigation, National Center for the Analysis of Violent Crime, 1991.

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Nick, Tilley, ed. Analysis for crime prevention. Criminal Justice Press, 2002.

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Kalish, Carol B. International crime rates. U.S. Dept. of Justice, Bureau of Justice Statistics, 1988.

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Catriona, Mirrlees-Black, and Great Britain. Home Office. Research and Planning Unit., eds. Racially motivated crime: A British Crime Survey analysis. Home Office, 1994.

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Sean, Bair, and Helms Dan, eds. Tactical crime analysis: Research and investigation. Taylor & Francis, 2010.

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Book chapters on the topic "Crime analysis"

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Dörmann, U. "Crime Analysis." In Police Research in the Federal Republic of Germany. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-74176-0_4.

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Fennelly, Lawrence J., and Marianna A. Perry. "Crime Analysis." In Security Officers and Supervisors. CRC Press, 2024. http://dx.doi.org/10.4324/9781003402718-66.

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Walker, Jeffery T., and Grant R. Drawve. "Crime mapping." In Foundations of Crime Analysis. Routledge, 2018. http://dx.doi.org/10.4324/9781315716442-12.

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Haelterman, Harald. "Crime and Criminality." In Crime Script Analysis. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-54613-5_3.

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Srivastava, Divyanshi, Ujjwal Kumar Jha, and Paurush Bhulania. "Crime Data Analysis." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6678-9_24.

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Keatley, David. "Crime Script Analysis." In Pathways in Crime. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75226-6_10.

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Keatley, David. "Crime Linkage Analysis." In Pathways in Crime. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75226-6_11.

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Rossmo, D. Kim. "Crime Linkage Analysis." In Geographic Profiling, 2nd ed. Routledge, 2025. https://doi.org/10.4324/9781003323594-5.

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Walker, Jeffery T., and Grant R. Drawve. "Describing crime events." In Foundations of Crime Analysis. Routledge, 2018. http://dx.doi.org/10.4324/9781315716442-7.

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Haelterman, Harald. "Scripting Crime Against Business." In Crime Script Analysis. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-54613-5_4.

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Conference papers on the topic "Crime analysis"

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Thomas, Beryl Abey, and Sivakami Raja. "Crime Mapping and Predictive Analysis of Crimes in Maryland, USA." In 2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT). IEEE, 2024. http://dx.doi.org/10.1109/iconscept61884.2024.10627834.

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Sharma, Parth, Dhairya Dhingra, Aditi Sahai, Purushottam Sharma, Anju Mishra, and Anjali Kapoor. "Crime Scene Analysis Using YOLOv5 Model." In 2024 International Conference on Emerging Innovations and Advanced Computing (INNOCOMP). IEEE, 2024. http://dx.doi.org/10.1109/innocomp63224.2024.00017.

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Divya, G., Naman Saxena, and Akshansh Sharma. "Crime Prediction and Analysis using Machine Learning." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545192.

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Kovalchuk, Olha, Serhiy Banakh, Mariia Masonkova, Andrii Kolesnikov, Pavlo Chopyk, and Pavlo Basistyi. "Association Rules Mining in Crime Data Analysis." In 2024 14th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2024. http://dx.doi.org/10.1109/acit62333.2024.10712467.

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A, Srimathi, Jothi S, and Sindhiya M. P. "Human Scream Detection and Analysis for Crime Reduction." In 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). IEEE, 2025. https://doi.org/10.1109/icmsci62561.2025.10894058.

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Da Silveira, Márcio V. C., and Wladmir C. Brandão. "Characterizing Crimes from Web." In VI Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2017. http://dx.doi.org/10.5753/brasnam.2017.3249.

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Crime prevention requires the effective use of police resources, which demands the access of criminal information for planning security actions. The number of crime occurrences is higher than the official reported numbers. Many victims do not report crimes directly to the security agencies. Instead, they prefer to anonymously report using different channels, such as the Web. In this article, we introduce our approach to characterize crimes reported in the Web. Particularly, we collect criminal data from popular websites that store crime occurrences, and we use clustering analysis to discover c
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Garcia-Zanabria, Germain, and Luis Gustavo Nonato. "Visual crime pattern analysis." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sibgrapi.est.2022.23261.

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Studying and analyzing crime patterns in big cities is a challenging Spatio-temporal problem. The problem’s difficulty is linked to different factors such as data modeling, unsophisticated hotspot detection techniques, Spatio-temporal patterns, and study delimitation. Previous works have mostly focused on the analysis of crimes with the intent of uncovering patterns associated to social factors, seasonality, and urban activities in whole districts, regions, and neighborhoods. Those tools can hardly allow micro-scale crime analysis closely related to crime opportunity, whose understanding is fu
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Jayaweera, Isuru, Chamath Sajeewa, Sampath Liyanage, Tharindu Wijewardane, Indika Perera, and Adeesha Wijayasiri. "Crime analytics: Analysis of crimes through newspaper articles." In 2015 Moratuwa Engineering Research Conference (MERCon). IEEE, 2015. http://dx.doi.org/10.1109/mercon.2015.7112359.

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Hacin, Rok. "Kriminaliteta v občinah ob schengenski meji." In Varnost v ruralnih in urbanih okoljih: konferenčni zbornik. Univerzitetna založba Univerze v Mariboru, 2020. http://dx.doi.org/10.18690/978-961-286-404-011.

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The paper focuses on the crime analysis in the 32 municipalities at the Schengen border in the period 2010–2019. The results of the analysis of police crime statistics show that crimes against property present the most frequent form of crime in municipalities at the Schengen border, followed by forgery of documents, threat, the prohibited crossing of the state border or territory, counterfeiting or destruction of business documents, and minor bodily injury. In the analysed period, the number of crimes against public order and peace increased significantly (especially number of crimes of the pr
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Pratibha, Akanksha Gahalot, Uprant, Suraina Dhiman, and Lokesh Chouhan. "Crime Prediction and Analysis." In 2020 2nd International Conference on Data, Engineering and Applications (IDEA). IEEE, 2020. http://dx.doi.org/10.1109/idea49133.2020.9170731.

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Reports on the topic "Crime analysis"

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Perez-Vincent, Santiago M., Verónica Abril, Cynthia Chen, Teniola Tayo, and Andres Urrego Jimenez. Crime Underreporting in Latin America and the Caribbean. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013215.

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Crime underreporting poses a significant challenge for governments and law enforcement agencies. This study examines the extent, characteristics, and drivers of crime underreporting and provides evidence-based policy recommendations to address it. Using information from victimization surveys from 10 Latin American and Caribbean countries, the analysis reveals widespread crime underreporting, with an average of approximately three out of four crimes not reported in the countries examined. Low and heterogenous reporting rates point to potential biases in official crime statistics, with certain c
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Ajzenman, Nicolás, and Laura Jaitman. Crime Concentration and Hot Spot Dynamics in Latin America. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011745.

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Latin America and the Caribbean is the most violent region in the world, with an annual homicide rate of more than 20 per 100,000 population and with an increasing trend. Yet most evidence of crime concentration, geo-temporal patterns, and event dependence comes from cities in high-income countries. Understanding crime patterns in the region and how they compare to those in high-income countries is of first-order importance to formulate crime reduction policies. This paper is the first to analyze crime patterns of cities in five Latin American countries. Using micro-geographic units of analysi
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Markowitz, Sara. An Economic Analysis of Alcohol, Drugs, and Violent Crime in the National Crime Victimization Survey. National Bureau of Economic Research, 2000. http://dx.doi.org/10.3386/w7982.

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Keefer, Philip, Dino Caprirolo, Heather Sutton, et al. The Costs of Crime and Violence: New Evidence and Insights in Latin America and the Caribbean (Executive Summary). Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0006383.

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This publication is the first to provide a comprehensive, systematic and rigorous analysis of the costs of crime in Latin America and the Caribbean. The main challenges in the region are addressed: the social cost of homicides, private and public spending on security, the penitentiary crisis, violence against women, organized crime and cybercrime. The volume estimates that the direct cost of crime for 17 LAC countries in 2010-2014 is, on average, 3.5 percent of the region's GDP--twice as much as in the developed world. This volume also provides a detailed analysis of the costs of crime in Braz
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Russell, Kortney. Crime Risk near Reported Homeless Encampments: a Spatial Analysis. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7435.

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Shekhar, Shashi, Pradeep Mohan, Dev Oliver, and Xun Zhou. Crime Pattern Analysis: A Spatial Frequent Pattern Mining Approach. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada561517.

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Krueger, Alan, and Jorn-Steffen Pischke. A Statistical Analysis of Crime Against Foreigners in Unified Germany. National Bureau of Economic Research, 1996. http://dx.doi.org/10.3386/w5485.

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Bailey, Corin. Crime and Violence in Barbados: IDB Series on Crime and Violence in the Caribbean. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009299.

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This report is part of the Inter-American Development Bank's Technical Note Series on Crime and Violence in the Caribbean. The overall aim is to establish a baseline of the crime-prevention arena against which progress can be assessed. The report compiles available data from multiple sourcesto provide a diagnostic of the size, characteristics, and changing nature of the problem in Barbados in recent years. In addition, the report provides a survey of the various crime-prevention and suppression policies, programs, and projects adopted by the government, private companies, and nongovernmental o
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Harriot, Anthony D., and Marlyn Jones. Crime and Violence in Jamaica: IDB Series on Crime and Violence in the Caribbean. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009298.

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Abstract:
This report is part of an IDB technical note series on crime and violence in the Caribbean. The overall aim is to establish a baseline of the crime prevention arena against which progress can be assessed. The report compiles the available data from multiple sources in order to provide a diagnosis of the size, characteristics, and changing nature of the crime problem in Jamaica over the last 10 years. In addition, the report provides a survey of the various crime prevention and suppression policies, programmes, and projects adopted by government, private organizations, and non-governmental orga
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10

Sutton, Heather. Crime and Violence in The Bahamas: IDB Series on Crime and Violence in the Caribbean. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009296.

Full text
Abstract:
This report is part of an IDB technical note series on crime and violence in the Caribbean. The overall aim is to establish a baseline in the crime prevention arena against which progress can be assessed. The report compiles the available data from multiple sources in order to provide a diagnosis of the size, characteristics, and changing nature of the problem of crime and violence in The Bahamas. In addition, the report provides a survey of the various crime prevention and suppression policies, programs and projects adopted by government and private and nongovernmental organizations in recent
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