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Journal articles on the topic 'Crime analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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2

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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9

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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Maurya, Prakash, Tahir Shaikh, Imran Ahmed, Amaan Firdosi, and Prof Kiran Deshmukh. "Crime Analysis and Prediction Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1470–73. http://dx.doi.org/10.22214/ijraset.2023.50310.

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Abstract: The aim of this study is to develop a machine learning-based application that can analyze crime data across different districts in India and categorize them as high, moderate, or low based on the frequency of crimes. Based on the frequency of particular crimes in particular districts we will suggest necessary preventive measures and also recommend some precautions before visiting a particular crime hotspot. The methodology involved using a Logistic regression model for crime classification, followed by k-means clustering to group districts based on their crime rates. The results of t

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Moskaleva, E. G., and N. N. Podol'naya. "CRIMINOLOGICAL ANALYSIS OF ECONOMIC CRIME." Bulletin of Udmurt University. Series Economics and Law 31, no. 1 (2021): 117–23. http://dx.doi.org/10.35634/2412-9593-2021-31-1-117-123.

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The article defines the consequences of economic crimes, summarizes the experience of theoretical and empirical studies of crime in the Russian economy, and presents the results of the author's research in this area. The interpretation of the concept of "economic crime" is characterized by legislative, departmental and research approaches. The authors argue that it is difficult to detect crimes in the economic sphere and the high level of latency of economic crime. Data from official statistics of Rosstat and the Prosecutor General's office of the Russian Federation were selected as the empiri

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Mengvi, P. Gatpandan, and C. Ambat Shaneth. "Applying Data Envelopment Analysis and Clustering Analysis in Enhancing the Performance of Philippine National Police - District VI in the Province of Cavite." International Journal of Information Technology, Control and Automation (IJITCA) 7, April (2017): 1–21. https://doi.org/10.5281/zenodo.3235371.

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Data envelopment analysis is a technique or method for assessing and evaluating the relative performance of organizational entities where the manifestation of multiple inputs and outputs makes comparison difficult. Efficiency was measured through data envelopment analysis in Philippine National Police District VI in the Province of Cavite to measure the performance of decision-making units in terms of their resources. Clustering is the process of grouping and analyzing the list of objects which have similar characteristics. Clustering algorithm is used in this study to help identify crime patt

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14

Sonali Pakhmode, Vanshita Gaikwad, Bhargavee Talekar, Neha Golatkar, and Vipin Jaiswal. "Regional Crime Data Analysis and Insights Using Fb Prophet." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 05 (2024): 1395–401. http://dx.doi.org/10.47392/irjaem.2024.0192.

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Crime is one of the most dominate and formidable aspect of the society. Crimes are committed daily, which has made the lives of the common people restive. Therefore, preventing the crime from occurring can be achieved through a systematic approach by recognizing and evaluating the criminal trends specific to a certain location. Data analysis can assist us to explore former criminal incidents and help us analyze the patterns and hidden correlations which can be used for prevention of crime. Our system aims to analyze crime-prone regions by using the location and time of the crime. Data visualiz

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15

Srikanth, H. S. Tanvi. "Crime Pattern Analysis, Visualization and Pridiction Using Data Mining." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (2021): 397–401. http://dx.doi.org/10.22214/ijraset.2021.37323.

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Crime against women these days has become problem of every nation around the globe many countries are trying to curb this problem. Preventive are taken to reduce the increasing number of cases of crime against women. A huge amount of data set is generated every year on the basis of reporting of crime. This data can prove very useful in analyzing and predicting crime and help us prevent the crime to some extent. Crime analysis is an area of vital importance in police department. Study of crime data can help us analyze crime pattern, inter-related clues& important hidden relations between th

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16

Wang, Shaoxuan. "Hate Crime Analysis based on Artificial Intelligence Methods." E3S Web of Conferences 251 (2021): 01062. http://dx.doi.org/10.1051/e3sconf/202125101062.

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Hate crimes always take a toll on American citizens, which harms social security. It is essential for researchers to explore the factors, which lead to hate crimes. This research is to find out the relationship between hate crimes and factors including income inequality, median household income, race using Machine Learning methods. Machine Learning, as an important branch in Artificial Intelligence, is a good way for finding relationships between things. The research is based on a dataset of hate crimes rates in the 2016 U.S. presidential election as well as hate crimes rates in every U.S. sta

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Olaoye, H. O., and E. K. Akinyemi. "Analysis of City of Essex: Street Crime." International Journal of Research and Innovation in Applied Science IX, no. VII (2024): 62–68. http://dx.doi.org/10.51584/ijrias.2024.907007.

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This report examines the total number of crimes reported in Essex Constabulary during the years 2019 and 2020, with particular attention to the potential impact of the COVID-19 lockdown in 2020. Through an analysis of crime statistics, it provides insights into the distribution of various crime types and their temporal and geographical variations. The comparison between 2019 and 2020 allows for an assessment of any significant changes in crime rates, considering the influence of the pandemic-induced restrictions. By categorizing crimes into major groups and examining their occurrence over time

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18

Pasaribu, Juhrin. "Juridical Analysis of Criminal Sanctions for Money Laundering Proceeds of Narcotics Crimes." Enigma in Law 2, no. 1 (2024): 55–58. http://dx.doi.org/10.61996/law.v2i1.46.

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Money laundering proceeds of narcotics crimes is a criminal offense regulated in Law Number 8 of 2010 concerning prevention and eradication of the crime of money laundering. This crime is a serious crime that can endanger economic stability and state security. Criminal sanctions for laundering money from narcotics crimes are regulated in Article 3 of Law Number 8 of 2010. The criminal sanctions that can be imposed on perpetrators of this crime are in the form of a maximum imprisonment of 20 years and a maximum fine of IDR 10 billion. A juridical analysis of criminal sanctions for laundering mo

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19

Gayratovna, Kamalova Dildora. "LIABILITY FOR PREPARATION TO COMMIT A CRIME IN THE CRIMINAL LEGISLATION OF FOREIGN COUNTRIES (COMPARATIVE LEGAL ANALYSIS)." American Journal of Political Science Law and Criminology 4, no. 12 (2022): 36–40. http://dx.doi.org/10.37547/tajpslc/volume04issue12-07.

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The article highlights the issues related to inchoate crimes, preparing for a crime, the basis of liability and punishment for it on the example of foreign countries and national legislation. The author analyzed the issue of liability for preparation of a crime from a comparative legal point of view based on the criminal law of France, the Netherlands, the FRG, Great Britain, and the USA. Based on the study of the criminal legislation of these countries, the author draws a conclusion that in terms of liability for inchoate crimes, there is no criminal liability for preparation for a crime and

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S.Asifunisa and Matheen Waheeda. "Crime Against Women in India – An Analysis." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2019): 197–204. https://doi.org/10.5281/zenodo.2586425.

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Crime against women has been a major challenge to the whole world. The society has witnessed a huge rise in violence against women. Though governments are trying to bring in stricter laws to punish the perpetrators, the crime rates have not seen a dip. On the contrary crime against women has been increasing and it has almost doubled over the past ten years. The present paper is an attempt to analyze the different types of crimes committed against women in Tamil Nadu and India in order to find possible causes and solutions to the problem. A comparison of the total crime rates within the distric

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Scott, Shelby M., and Louis J. Gross. "COVID-19 and crime: Analysis of crime dynamics amidst social distancing protocols." PLOS ONE 16, no. 4 (2021): e0249414. http://dx.doi.org/10.1371/journal.pone.0249414.

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In response to the pandemic in early 2020, cities implemented states of emergency and stay at home orders to reduce virus spread. Changes in social dynamics due to local restrictions impacted human behavior and led to a shift in crime dynamics. We analyze shifts in crime types by comparing crimes before the implementation of stay at home orders and the time period shortly after these orders were put in place across three cities. We find consistent changes across Chicago, Baltimore, and Baton Rouge with significant declines in total crimes during the time period immediately following stay at ho

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Chauhan, Ritvik, Madan Lal, and Vijay Kumar Baraik. "Geo-Information enabled crime predictive analysis model." National Geographical Journal of India 68, no. 1 (2022): 18–40. http://dx.doi.org/10.48008/ngji.1793.

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Crime is a serious threat to society and handicaps it in its normal functioning with full potential. It also hinders the development of a society along with creating hurts of various kinds and degrees. It is, therefore, required to tackle the crime properly for its control and management. Associated with human society with its very existence, it has been evolving with the time in differing magnitudes. Especially, during the contemporary time of rapid technological and societal change, crime has got new types, forms spatial scale with the advent of globalization since 1990. However, the spatial

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Noor, Talal H., Abdulqader M. Almars, Majed Alwateer, Malik Almaliki, Ibrahim Gad, and El-Sayed Atlam. "SARIMA: A Seasonal Autoregressive Integrated Moving Average Model for Crime Analysis in Saudi Arabia." Electronics 11, no. 23 (2022): 3986. http://dx.doi.org/10.3390/electronics11233986.

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Crimes have clearly had a detrimental impact on a nation’s development, prosperity, reputation, and economy. The issue of crime has become one of the most pressing concerns in societies, thus reducing the crime rate has become an increasingly critical task. Recently, several studies have been proposed to identify the causes and occurrences of crime in order to identify ways to reduce crime rates. However, few studies have been conducted in Saudi Arabia technological solutions based on crime analysis. The analysis of crime can help governments identify hotspots of crime and monitor crime distri

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Jiménez Preciado, Ana Lorena, and Cesar Gurrola Ríos. "Characterising Crime Incidence in Mexico: A Hierarchical Linkage Clustering Analysis." Jurnal Institutions and Economies 14, no. 4 (2022): 25–54. http://dx.doi.org/10.22452/ijie.vol14no4.2.

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We aim to characterise the incidence and distribution of crime in 32 states of Mexico. A hierarchical grouping with average linkage is implemented with crime information from DataMéxico, segmented by state and type of crime from 2015 to 2020. Based on the proportional number of crimes over the population of each state, through the elbow method and the average linkage with a Cophenetic correlation coefficient, we validate the number of clusters. Subsequently, a principal component analysis (PCA) is performed to identify each state’s contribution to the clusters proposed. The main results reveal

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Tobias, Chitani Jarves Bob, and Brave Mwanza. "Spatial and Temporal Analysis: A GIS-Based Application Tool for Crime Monitoring and Clustering in Malawi." European Scientific Journal, ESJ 20, no. 8 (2024): 167. http://dx.doi.org/10.19044/esj.2024.v20n8p167.

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For the purposes of monitoring, evaluating, and conducting a geographical analysis of crime-related data, the study used geospatial technology to collect crime data based on spatial location and the Malawi Police Data Digest of 2019 and 2020. In a more generic sense, knowing the geographic patterns of crime in Malawi using GIS technology can help determine how to make and implement important decisions to reduce crimes in Malawi. The Malawi Police Service has established a number of database management systems to help with crime monitoring. Notwithstanding, it has not yet fully integrated Geogr

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Gajendra, Amshu S., Aruna S, and Malini R. "Crime Prediction and Analysis." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 1970–74. http://dx.doi.org/10.22214/ijraset.2022.44218.

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Abstract: Crimes are treacherous social problems which are faced worldwide. It is the most serious and predominant issue of our society. It affects various key features bound to the society and an individual’s life like the quality of life, reputation, economic growth and societal safety. With the advancement of technology there is an enormous growth in the crime rate. There arelaws that have been enforced to take preventive measures but there is a need for advanced approaches for protecting the society and the individuals in the society. Hence analyzing of crime helps in detecting the pattern

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신, 재헌. "An Analysis on Foreigner Committed Crimes Covered in Media." Korean Society of Culture and Convergence 44, no. 9 (2022): 435–46. http://dx.doi.org/10.33645/cnc.2022.9.44.9.435.

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The purpose of this paper is to analyze the cases of foreigner committed crime covered in media and introduce the seriousness of the crimes committed by foreigners. According to the violent crime analysis results, the violent crimes committed by foreigners were brutal and cruel and involved revenge motive. In addition, the foreign criminals often used weapons, committed crimes in groups, and involved sexual violence crime in the violent form. In case of property crimes, the foreigners committed the property crimes in various forms including voice phishing, illegal overseas remittance, illegal

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Smirniotis, Colette, Michael Henderson, Barbara A. Bailey, and Rose M. C. Kagawa. "Crime and Building Rehabilitation or Demolition: A Dose-Response Analysis." International Journal of Environmental Research and Public Health 19, no. 20 (2022): 13065. http://dx.doi.org/10.3390/ijerph192013065.

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Thousands of buildings in Cleveland, Ohio were demolished or rehabilitated since the Great Recession in the 2000s. Recent evidence suggests removing vacant and decaying buildings reduces violent and firearm-involved crime. This study examines the dose-response relationship between demolitions, rehabilitations, and crime. We use Bayesian spatiotemporal models to estimate the association of interest for five types of crime outcomes: violent crimes, violent crimes involving a firearm, drug crimes, and crimes often associated with building vacancy. We estimate associations in quarterly time period

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Abdulla, REYIMBAEV. "LEGAL ANALYSIS OF THE CONCEPT AND TYPES OF IMPLIABILITY IN CRIMES." Demokratlashtirish va Inson huquqlari 1/2023 (May 11, 2023): 101–4. https://doi.org/10.54952/DHR.2022.81.50.063.

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The article provides a legal definition of the concept of involvement in a crime and persons involved in a crime. It is studied to what extent the involvement in a crime affects responsibility. The issue of concealment of the committed crime, non-reporting of preparing and committed crimes is also considered.

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Kumar, Ayush. "Critical Analysis of the Law Relating to Cyber Crime." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 2081–82. http://dx.doi.org/10.22214/ijraset.2022.47771.

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Abstract: The Cyber Crime is most popular Crime in the world the Cyber Criminals Crimes are the Committed day by day .This Crime commit the Computer and Internet in this Crime Criminals are hacking the Computer system, Mobile like that Hacking virus ,Worm attacks, DOS attack etc. The personal data are Theft Like that Bank account detail, e-mail, Mobile messages .The computer as a weapon using the computer system to commit real world Crimes like Cyber terrorism, IPR(Intellectual property infringing) contravention, credit card frauds, EFT (Electronic fund transfer) Frauds, Pornography etc. The C

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Shafique, Iqra, Syeda Ambreen Zahra, Tuba Farid, and Madiha Sharif. "Role of GIS in Crime Mapping & Analysis." Sukkur IBA Journal of Computing and Mathematical Sciences 1, no. 2 (2017): 39. http://dx.doi.org/10.30537/sjcms.v1i2.30.

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In most recent years, crime analysis has turned into a broad- spectrum term that needs a considerable measure of research on crime investigation and crime mapping. Study about crime with respect to its spatial and temporal distribution is important because data about crime incident is one of the most urgent need to fight against crime. Crime mapping and analysis plays an integral role in essentially advanced form of crime representation, visualization and respond satisfactorily to the problem of criminality. It also let the analysts to figure out how crimes are spread evenly over the zone. GIS

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Hola, Barbora, Catrien Bijleveld, and Alette Smeulers. "Punishment for Genocide – Exploratory Analysis of ICTR Sentencing." International Criminal Law Review 11, no. 4 (2011): 745–73. http://dx.doi.org/10.1163/157181211x587193.

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AbstractThe sentencing practice of the International Criminal Tribunal for Rwanda (ICTR) is a relatively neglected topic in academic discussions. The few empirical studies on sentencing of international crimes have focused primarily on the sentencing practice of its 'sister court', the International Criminal Tribunal for the Former Yugoslavia (ICTY). Unlike ICTY defendants, almost all ICTR defendants have been convicted of and sentenced for genocide – arguably the most serious international crime. This empirical study examines the sentencing practice of the ICTR and analyses the relationship b

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KA, Kyei, Tshisikhawe TH, and Dube LM. "Different Crime Types in Western Cape Province: Principal Component Analysis." Journal of Economics and Behavioral Studies 8, no. 5(J) (2016): 18–26. http://dx.doi.org/10.22610/jebs.v8i5(j).1428.

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South Africa has a very high crime rate compared to most countries. Crime affects the society,Â business and psychology of the people. It compels people to move out or come into a particular area. It isÂ most prevalent in the urban areas where poverty gap is conspicuous. Western Cape and Gauteng ProvincesÂ are the best developed provinces in the country and therefore have higher crime levels. But the question is:Â what types of crime are prevalent in the Western Cape Province? And what are the major causes of theseÂ crimes? The purpose of this paper is to identify the different types of crimes

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Song, Byung Ho, and Sang Cheul Han. "Efficiency plan for building a safe city through crime analysis: Facusing Pyeongtaek-si, south Gyeonggi-do." Korean Association of Criminal Psychology 18, no. 2 (2022): 81–98. http://dx.doi.org/10.25277/kcpr.2022.18.2.81.

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This study is a study on the construction of a crime-safe city as a countermeasure by analyzing the occurrence of crimes due to the new urban concentration in the outskirts of the city in order to escape the urban concentration phenomenon. The subject of this study is Pyeongtaek, south Gyeonggi-do. In 2020, the number of crimes nationwide was 1,611,906, 3,108.7 per 100,000 people, and the Gyeonggi Nambu Provincial Police Agency had 379,794 crimes, which was 3,877.5 per 100,000, while Pyeongtaek City had 28,270, which was 5,510.4 per 100,000. This is more than 2,000 cases higher than the nation

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Muça, Valbona. "Domestic Crime – A Sociological Analysis." European Journal of Social Sciences Education and Research 5, no. 1 (2015): 402. http://dx.doi.org/10.26417/ejser.v5i1.p402-407.

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After ‘90 years we have often heard and read in social networks for different cases of domestic violence, which in most cases have ended with the murder of one of the couple. Mostly, women are victims of domestic violence. Murder cases have increased, where parents murder their child or the opposite. Different researchers and as a sociologist, psychologist and criminologist or have attempted to study the nature of crime in the Albanian family, have given their opinions to explain the increase of crimes. This article will reflect an explanation of the causes of factors leading to crime to one s

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Pleshakov, Vladimir A. "ANALYSIS OF SITUATIONAL CRIME FACTORS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 7/3, no. 139 (2023): 198–203. http://dx.doi.org/10.36871/ek.up.p.r.2023.07.03.022.

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The article analyzes the factors of situational crime. It is indicated that the main cause of all crimes is the motivation of the individual to commit a crime. A new concept is introduced in the mechanism of individual criminal behavior – opportunities. The concept of subjective and objective possibilities is given. It is indicated that the result of the interaction of these types of opportunities is the “trigger” of criminal encroachment. The place of possibilities in the mechanism of a criminal act is shown. Based on the results of the study, the subjective and objective possibilities of sit

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Haeri, Mahmoud. "Analysis of Jurisprudence - Legal of Compulsion and Duress in Adultery." Journal of Politics and Law 9, no. 2 (2016): 89. http://dx.doi.org/10.5539/jpl.v9n2p89.

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<p>Criminal responsibility is communicative ring and bridge of two important institutions of criminal law, crime and punishment and therefore is one of the most important issues of criminal law.<br />On the other hand, one of the conditions of obligation and criminal responsibilities is authority and freedom of action that a person could be required to preserve and respect for life, property and dignity of the people that in the actions is autonomous and free.<br />Although our legislator is considered to this issue in discretionary (Tazir) punishments crimes and life retribu

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Hong-wei, Wang, Geng Cheng, and Wang He-yong. "Revisiting Deterrence Theory in the Context of Globalization: An Analysis of «Crime Substitution» as a Starting Point." International relations and international law Journal 109, no. 1 (2025): 138–49. https://doi.org/10.26577/irilj2025109112.

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Deterrence theory plays an important role in controlling crime and is one of the ideological foundations of the criminal justice system. Globalization has had a significant impact on traditional crimes and crime methods, and crime substitution among countries has gradually become a norm phenomenon. Whether in the dimension of crime cost calculation, the dimension of sanction method, or the dimension of individual diversity consideration, deterrence theory has varying degrees of deficiencies and cannot effectively combat the problem of crime substitution among countries. The purpose of deterren

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Pilotin, Romel. "Harnessing Crime Mapping and GIS Technologies for Public Safety: Analyzing Crime Patterns and Optimizing CCTV Coverage in Apayao, Philippines." Azal Arts and Humanities 2, no. 1 (2015): 1–12. https://doi.org/10.55687/aah.v2i1.169.

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This study evaluated crime mapping for the strategic placement of Closed-Circuit Television (CCTV) and other targeted security interventions in the province of Apayao. Anchored on Routine Activity Theory, Situational Crime Prevention Theory, and Social Control Theory, the research examined index crimes from 2021 to 2023, categorized into crimes against persons and crimes against property. Utilizing spatial analysis tools, particularly Quantum Geographic Information System (QGIS), the study visualized crime distribution across seven municipal police stations in Apayao. Data were obtained from t

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Kyei, Kwabena A. "Analysis of Crime Data in the Limpopo Province." Journal of Economics and Behavioral Studies 9, no. 3(J) (2017): 19–27. http://dx.doi.org/10.22610/jebs.v9i3(j).1743.

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South Africa has a very high rate of murders, assaults, rapes and other crimes compared to most countries. Most South Africans who immigrate to other countries cite crime as the major reason. Crime has become a concern for all, the police, private security industry, real estate developer, car manufacturers, businessmen, etc. There is a high demand for crime prevention; and this calls for a continuous use of new, advanced and reliable methods to prevent crime. How bad is the level of crime in Limpopo and what are the major crime types? This study uses secondary data from the 2011 Census conduct

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Kyei, Kwabena A. "Analysis of Crime Data in the Limpopo Province." Journal of Economics and Behavioral Studies 9, no. 3 (2017): 19. http://dx.doi.org/10.22610/jebs.v9i3.1743.

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South Africa has a very high rate of murders, assaults, rapes and other crimes compared to most countries. Most South Africans who immigrate to other countries cite crime as the major reason. Crime has become a concern for all, the police, private security industry, real estate developer, car manufacturers, businessmen, etc. There is a high demand for crime prevention; and this calls for a continuous use of new, advanced and reliable methods to prevent crime. How bad is the level of crime in Limpopo and what are the major crime types? This study uses secondary data from the 2011 Census conduct

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Damayanti, Fitriani N., Zulyi Wiyanti, Siti Istiana, Erna Kusumawati, and Satriya Pranata. "Medical Crimes in Midwifery Cases: Bibliometrics Analysis." Babcock University Medical Journal 7, no. 2 (2024): 42–50. https://doi.org/10.38029/babcockuniv.med.j..v7i2.504.

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Background: Medical crimes in midwifery cases, a term used to describe medical crimes during pregnancy, childbirth, and the postpartum period, is a controversial feminist term in global health policy and midwifery practice and research. This work aimed to discover the trend of medical crime publications regarding obstetric cases, the number of citations, and the direction of further research topics. Main body: The research method used in this study is Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), which uses 2,617 scientific articles or publications from the Dimen

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Thanuja, B. "Machine Learning Based Crime Rate Analysis Using Python." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 1312–16. http://dx.doi.org/10.22214/ijraset.2022.47574.

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Abstract: Crime is obvious that the rate of crimes were increasing day by day in all societies in world, but we personally do believe that there are a lot which can be done by both the governments and the individuals to reduce the crimes in communities. Crime analysis is a well-organized way of detecting and examining patterns and trends in crime. We should give utmost importance to study the reasons behind the crimes, so that we can prevent various crimes occurring and we can be able to find suitable solutions to prevent them. When people cannot find work, they have all the free time in the w

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Anuj, Kumar Gupta Genesis Alkali Dheeraj Varun Kumar Reddy Buddula Hari Hara Sudheer Patchipulusu Reddy Polu and Navya Vattikonda. "An Analysis of Crime Prediction and Classification Using Data Mining Techniques." International Journal of Advanced Research in Engineering and Applied Sciences 10, no. 05 (2021): 43–56. https://doi.org/10.5281/zenodo.15335316.

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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 withmodel crime is data mining. Crimes are costly to society in many ways, and they are also a majorsource of frustration for its members. A major area of machine learning research is crimedetection. This paper analyzes crime prediction and classification using data mining techniqueson a crime dataset spanning 2006 to 2016. This approach begins with cleaning and extractingfeatures from raw data for data preparation.

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Tariq, Haseeb, Muhammad Kashif Hanif, Muhammad Umer Sarwar, Sabeen Bari, Muhammad Shahzad Sarfraz, and Rozita Jamili Oskouei. "Employing Deep Learning and Time Series Analysis to Tackle the Accuracy and Robustness of the Forecasting Problem." Security and Communication Networks 2021 (March 31, 2021): 1–10. http://dx.doi.org/10.1155/2021/5587511.

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Crime is a bone of contention that can create a societal disturbance. Crime forecasting using time series is an efficient statistical tool for predicting rates of crime in many countries around the world. Crime data can be useful to determine the efficacy of crime prevention steps and the safety of cities and societies. However, it is a difficult task to predict the crime accurately because the number of crimes is increasing day by day. The objective of this study is to apply time series to predict the crime rate to facilitate practical crime prevention solutions. Machine learning can play an

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Pambabay-Calero, Johny, Sergio Bauz-Olvera, Rubén Flores-González, and Carlos Piña-García. "Multivariate analysis and characterization of low impact crime in Mexico City." F1000Research 10 (December 21, 2021): 1299. http://dx.doi.org/10.12688/f1000research.72990.1.

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Background: Multivariate analysis is fast becoming a key instrument that can be used to address crimes or incidents. It may be helpful to assess government policies on crime prevention. Methods: To distinguish between the 25 official crime categories reported in Mexico City (Jan 2019 - Jun 2019), principal coordinates analysis was used to determine the quality of a characteristic in this context. This study used cluster analysis via K-means and Biplot based on time and location in terms of crime occurrence. Results: The results obtained from this preliminary analysis indicates that around 70%

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Tyagi, Deepika, and Dr Sanjiv Sharma. "AN APPROACH TO CRIME DATA ANALYSIS: A SYSTEMATIC REVIEW." International Journal of Engineering Technologies and Management Research 5, no. 2 (2020): 67–74. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.615.

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In the current era, number of crimes occurs in the society and this criminal rate increase day by day. There is tremendous growth of criminal data. Crime has negatively influenced the societies. Crime control is essential for the welfare, stability and development of society. Law enforcement agencies are seeking for the system to target crime structure efficiently. The intelligent crime data analysis provides the best understanding of the dynamics of unlawful activities, discovering patterns of criminal behavior that will be useful to understand where, when and why crimes can occur. There is a

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Deepika, Tyagi, and Sanjiv Sharma Dr. "AN APPROACH TO CRIME DATA ANALYSIS: A SYSTEMATIC REVIEW." INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGIES AND MANAGEMENT RESEARCH 5, no. 2 :SE (2018): 67–74. https://doi.org/10.5281/zenodo.1197513.

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In the current era, number of crimes occur in the society and this criminal rate increase day by day. There is tremendous growth of criminal data. Crime has negatively influenced the societies. Crime control is essential for the welfare, stability and development of society. Law enforcement agencies are seeking for the system to target crime structure efficiently. The intelligent crime data analysis provides the best understanding of the dynamics of unlawful activities, discovering patterns of criminal behavior that will be useful to understand where, when and why crimes can occur. There is a

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Druchek, O. V. "INTOLERANCE CRIMES AND HATE CRIMES: CONCEPT ANALYSIS." Scientific journal Criminal and Executive System: Yesterday. Today. Tomorrow 2022, no. 2 (2023): 35–46. http://dx.doi.org/10.32755/sjcriminal.2022.02.035.

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A general theoretical analysis of the concepts of “crimes motivated by intolerance”, “hate crimes” and related concepts (such as “genocide”, “prejudice”, “xenophobia”) is provided in the article. The origin and meaning of the mentioned terms, their normative consolidation and practice of use in national legislation and international legal acts are analyzed. It has been proven that the concepts of “crimes motivated by intolerance” and “hate crimes” are close in meaning. As a legal category, crimes based on intolerance are a classification of a special type of crimes against a person caused by t

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Bao, Yingyu. "Statistics and Characteristics Analysis of China’s Intellectual Property Crimes." MATEC Web of Conferences 228 (2018): 05013. http://dx.doi.org/10.1051/matecconf/201822805013.

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By collecting, comparing and analyzing the data of intellectual property crime cases officially published, it is found that there is a big contrast between the quantity and the actual situation. Such crimes have the possibility of the existence of large-scale crime black numbers, the expansion of the scope of real-world crime objects, and the difficulty of eradicating criminal objects in virtual worlds. It should be given priority in the legal framework to reduce the phenomenon of intellectual property crime.

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