Academic literature on the topic 'Crime profiling'

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Journal articles on the topic "Crime profiling"

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Lazarenko, A., and Yu Fedorova. "METHODS OF CRIMINOLOGICAL PROFILING AND THEIR ROLE IN PREVENTING SERIAL MURDERS." Scientific journal Criminal and Executive System: Yesterday. Today. Tomorrow 2025, no. 1 (2025): 74–88. https://doi.org/10.32755/sjcriminal.2025.01.074.

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The article provides a comprehensive analysis of criminological profiling methods for serial killers, their effectiveness, and role in preventing serial crimes. The main profiling methods are identified, including criminal-analytical, psychological, geographical, linguistic, and digital. A detailed analysis of psychological profiling used to determine the motivation and behavioral characteristics of serial killers is conducted. Geographical profiling allows for determining the offender’s zone of activity, which increases the effectiveness of search and apprehension of suspects. Linguistic profiling, based on the analysis of writing style and language features, enables the establishment of authorship of anonymous messages and threats. Digital analysis, particularly the OSINT method and artificial intelligence algorithms, significantly expands law enforcement capabilities in tracking and profiling criminals in cyberspace. It is established that the optimal strategy for preventing serial homicides is a combined approach using digital analysis, criminal analytics, geoprofiling, and psychological analysis. Key words: criminological profiling, profiling, method, criminological research methodology, crime, offender personality, serial homicides, violent crime, forecasting, crime prevention.
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Kapardis, Andreas. "An overview of offender profiling." International Journal of Police Science & Management 26, no. 4 (2024): 429–33. https://doi.org/10.1177/14613557241298825.

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Generally speaking, criminals are caught by police for one or more of the following reasons: they confess to the crime; another criminal gives the police useful information about a crime; they are arrested red-handed or chased and caught by police; an eyewitness describes them; forensic evidence (fingerprints, footprints, DNA, etc.) at the crime scene or their handwriting or video footage is linked to them; or finally, because the police link a number of crimes committed by the same offender. Further, in today's large urban centres all over the world, the work of police detectives is becoming increasingly difficult, calling for more sophisticated techniques as criminals become even more adept. Films such as Silence of the Lambs, television series like Cracker in the UK, Mindhunter, CSI: Crime Scene Investigation, CSI: Miami or Profiler, and popular books like The Real Cracker by Stephen Cook (2001) , The Jigsaw Man and Picking Up the Pieces by Paul Britton (1998 , 2001 ) have popularised criminal profiling. In addition, well-known retired Federal Bureau of Investigation profilers (e.g. John Douglas, Roy Hazelwood, Robert Ressler) have published some of their experiences in helping law enforcement agencies catch serial killers. Likewise, in the UK, two very experienced offender profilers have published works; namely, academic psychologist Julian Boon and psychiatrist Richard Baddock. Offender profiling refers to the use of behavioural data evident in a crime to assist a police investigation by seeking to infer attributes of probable offenders, thus narrowing the police search for suspects.
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Adebisi, Kolawole Shittu, and Daramola Nurudeen Olanrewaju. "Psychological Profiling of Criminals in Violent Crime Investigations in Nigerian Criminal Justice System." International Journal of Criminology and Sociology 10 (December 31, 2020): 208–18. http://dx.doi.org/10.6000/1929-4409.2021.10.25.

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The Nigerian criminal justice system is not entirely ignorant or unaware of the use and the merits of the application of criminal profiling as a tool in crime investigation. The technique was introduced to help law enforcement agencies solve serious crimes such as serial rape or murder and to a lesser extent arson and property crime. At the heart of profiling lies the belief that by combining psychological principles with crime scene analysis, it is possible to identify the likely characteristics of a perpetrator. However, criminal profiling in Nigeria has not nearly reached the level of recognition, functionality, or institutionalization that it has attained in other jurisdictions. This study aims to examine the feasibility and the practicality of offender profiling in a criminal investigation of violent crimes with a particular focus on the Nigerian criminal justice system. It will also give an expository critique of the loopholes and impediments in the Nigerian criminal justice system and ways criminal profiling can fill up these holes. The research methods employed in this study include a combination of both primary and secondary sources. The work highlighted the effectiveness of this field and thus concluded that criminal investigative analysis should be effectively immersed into the justice system and should also receive as much recognition as it has in other jurisdictions especially in the United States and in major parts of Europe.
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Magow, Siddhant, Harshit Kapoor, Chiranjeev Singh Bindra, and Deepak Gupta. "GEO PROFILING MAPS BASED ON CRIME." Innovative Computing and Communication: An International Journal 1, no. 1 (2019): 1–8. https://doi.org/10.5281/zenodo.4743369.

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Security has become an essential aspect of everyday life in India. Crimes are occurring rampantly even in broad daylight and its becoming difficult to predict the place and time of their occurrence due to their sudden nature. One of the ways to provide security is by enabling people with vital information on the security aspects for the route they would take during a travel from one place to another. This creates vigilance in traveler and precautionary measures could be taken to prevent any mishap. This project tries to envision an application that will suspect any possible security lapse in a location enroute a destination. A user would use a map which would display all possible areas of red alert for security from source to destination. Given a map (like Google Maps), the security-based profiling of various geographical routes traversed could be highlighted as red/yellow/green indicating high, medium and low risk zones respectively. This would enable the user to be vigilant while travelling through high risk zones in the map. The profiling of routes can be done on crime data obtained from police (Delhi Police in this case) website for arrested persons, their crime of conviction, place of crime committed, place of arrest etc. Machine learning algorithms could be used to learn the security features that contribute to the security of the location. Clustering algorithms can be used for this purpose. K means clustering is one of the simplest clustering algorithms which categorize the items into k groups of similarity. To calculate that similarity, it uses some distance metric (Euclidean, Manhattan, etc.) for distance measurement.
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Chamikara, Mahawaga Arachchige Pathum, Akalanka Galappaththi, Roshan Dharshana Yapa, et al. "Fuzzy based binary feature profiling for modus operandi analysis." PeerJ Computer Science 2 (June 13, 2016): e65. http://dx.doi.org/10.7717/peerj-cs.65.

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It is a well-known fact that some criminals follow perpetual methods of operations known as modi operandi. Modus operandi is a commonly used term to describe the habits in committing crimes. These modi operandi are used in relating criminals to crimes for which the suspects have not yet been recognized. This paper presents the design, implementation and evaluation of a new method to find connections between crimes and criminals using modi operandi. The method involves generating a feature matrix for a particular criminal based on the flow of events of his/her previous convictions. Then, based on the feature matrix, two representative modi operandi are generated: complete modus operandi and dynamic modus operandi. These two representative modi operandi are compared with the flow of events of the crime at hand, in order to generate two other outputs: completeness probability (CP) and deviation probability (DP). CP and DP are used as inputs to a fuzzy inference system to generate a score which is used in providing a measurement for the similarity between the suspect and the crime at hand. The method was evaluated using actual crime data and ten other open data sets. In addition, comparison with nine other classification algorithms showed that the proposed method performs competitively with other related methods proving that the performance of the new method is at an acceptable level.
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Schulenberg, Jennifer L., and Peter J. Carrington. "Offender Profiling and Crime Analysis." International Criminal Justice Review 14, no. 1 (2004): 214–15. http://dx.doi.org/10.1177/105756770401400129.

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Zachek, Oleh, and Yurii Dmytryk. "APPLICATION OF PROFILING TO COMBAT CYBER CRIME." Social Legal Studios 10, no. 4 (2020): 94–100. http://dx.doi.org/10.32518/2617-4162-2020-4-94-100.

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The article is devoted to the study of current problems of application of advanced methods of profiling in the process of combating cybercrime by units of the National Police. The fight against cybercrime has recently become increasingly important, as there has been a significant increase in the number of cybercrimes. Ukrainian cyber police units must use the most modern methods to combat such crimes. One such method is profiling, which is an important tool for investigating crimes, including information crimes. It allows us to classify cybercriminals, understand their habits and technologies and aims to identify the perpetrator. Due attention is not paid to psychological aspects quite often in operational and investigative activities, resulting in the problem of diagnosis and assessment of the offender. Profiling allows to solve this problem and to increase efficiency of professional activity of divisions of cyber police of National police of Ukraine. But profiling is not used practically in the activities of these units in this time, although the use of profiling in the investigation of cybercrime is quite common in the world's leading countries. Therefore, we aimed to consider the problems of application of advanced profiling techniques in the process of combating cybercrime in the activities of cyber police units, as well as to provide suggestions for improving the current legislation. None of the existing legal documents of our state provides for the use of profiling in the activities of cyber police. Underestimation of capabilities of profiling in cyber police units of the National Police of Ukraine requires rethinking currently. Profiling technologies can be successfully implemented in the activities of operational units of the National Police, including cyber police units, due to it combat crime will be more effectively. It is advisable to add to the existing search measures at the legislative level such a measure as "operational profiling" to this end, that will allow to widely use its capabilities.
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Kim, Sunghwan, Louise Almond, and Marie Eyre. "Profiling Korean sex crimes: Offender characteristics and crime scene actions." Journal of Investigative Psychology and Offender Profiling 17, no. 1 (2019): 59–73. http://dx.doi.org/10.1002/jip.1539.

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Nathaniel Nte, Ucheawaji, Ngboawaji Daniel Nte, Bribena Kelvin Enokie, and Onyeka Bienose. "DNA Profiling and the Challenges of Crime Management in Nigeria: The Case of The Nigeria Police Force." Journal of Indonesian Legal Studies 4, no. 2 (2019): 189–216. http://dx.doi.org/10.15294/jils.v4i2.29446.

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This research investigated DNA profiling and crime management in Nigeria. The major objective of the study was to find out whether the Nigeria Police are aware of how to use DNA optimally as a source of evidence in the investigation process. In Nigeria, the Nigeria Police is one of the leading agencies statutorily charged with the responsibility of providing internal security through fighting of crime. The police does this job by undertaking criminal investigation with a view to collecting evidence to be used for courtroom prosecution of criminal suspects. Since 1930 the Nigeria Police was established, it has relied mainly on the traditional (old school) method of criminal investigations based on eye witness testimonies and statements, the investigators sense of judgement and experience. Overwhelming evidence from this research points to the fact that the said method has proven ineffective, as may unsolved crimes, wrongful prosecution or conviction of innocent criminal suspects and failed courtroom prosecution litter the performance profiles of the Nigeria Police. The study concluded that the capacity level of the Nigeria Police to collect and preserve the DNA evidence as part of the agency's criminal investigation process and use same for courtroom prosecution has significant effect on the effort it makes to fight crime through DNA profiling, and that the availability or non availability of sophisticated DNA technology in Nigeria has significant effect on the effort the Nigeria police makes to fight crime through DNA profiling. The availability or non availability of a central DNA database in Nigeria has significant effect on the efforts of the Nigeria police makes to fight crime through DNA profiling.
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Johnson, Devon, Daniel Brazier, Katrina Forrest, Crispin Ketelhut, Darron Mason, and Marc Mitchell. "Attitudes Toward the Use of Racial/Ethnic Profiling to Prevent Crime and Terrorism." Criminal Justice Policy Review 22, no. 4 (2011): 422–47. http://dx.doi.org/10.1177/0887403410381801.

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Research indicates that public approval for the use of racial/ethnic profiling to prevent crime is low. In contrast, recent research and polling data suggest the public is more supportive of the use of racial/ethnic profiling to prevent terrorism. Using a survey-based experiment that varies the context for the use of racial/ethnic profiling (to prevent crime or to prevent terrorism), this study examines whether public approval for the use of racial/ethnic profiling by law enforcement officers differs across context. In addition, multivariate analyses examine whether the factors that are associated with support for the use of profiling, including race of respondent, salience of crime and terrorism, perceived racial bias in the justice system, and racial stereotyping, vary across context.
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Dissertations / Theses on the topic "Crime profiling"

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Al, Fahdi Mahmood. "Automated digital forensics and computer crime profiling." Thesis, University of Plymouth, 2016. http://hdl.handle.net/10026.1/8090.

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Over the past two decades, technology has developed tremendously, at an almost exponential rate. While this development has served the nation in numerous different positive ways, negatives have also emerged. One such negative is that of computer crime. This criminality has even grown so fast as to leave current digital forensic tools lagging behind in terms of development, and capabilities to manage such increasing and sophisticated types of crime. In essence the time taken to analyse a case is huge and increasing, and cases are not fully or properly investigated. This results in an ever-increasing number of pending and unsolved cases pertaining to computer crime. Digital forensics has become an essential tool in the fight against computer crime, providing both procedures and tools for the acquisition, examination and analysis of digital evidence. However, the use of technology is expanding at an ever-increasing rate, with the number of devices a single user might engage with increasing from a single device to 3 or more, the data capacity of those devices reaching far into the Terabytes, and the nature of the underlying technology evolving (for example, the use of cloud services). This results in an incredible challenge for forensic examiners to process and analyse cases in an efficient and effective manner. This thesis focuses upon the examination and analysis phases of the investigative process and considers whether automation of the process is possible. The investigation begins with researching the current state of the art, and illustrates a wide range of challenges that are facing the digital forensics investigators when analysing a case. Supported by a survey of forensic researchers and practitioners, key challenges were identified and prioritised. It was found that 95% of participants believed that the number of forensic investigations would increase in the coming times, with 75% of participants believing that the time consumed in such cases would increase. With regards to the digital forensic sophistication, 95% of the participants expected a rise in the complexity level and sophistication of digital forensics. To this end, an automated intelligent system that could be used to reduce the investigator’s time and cognitive load was found to be a promising solution. A series of experiments are devised around the use of Self-Organising Maps (SOMs) – a technique well known for unsupervised clustering of objects. The analysis is performed on a range of file system and application-level objects (e.g. email, internet activity) across four forensic cases. Experiment evaluations revealed SOMs are able to successfully cluster forensic artefacts from the remaining files. Having established SOMs are capable of clustering wanted artefacts from the case, a novel algorithm referred to as the Automated Evidence Profiler (AEP), is proposed to encapsulate the process and provide further refinement of the artefact identification process. The algorithm led to achieving identification rates in examined cases of 100% in two cases and 94% in a third. A novel architecture is proposed to support the algorithm in an operational capacity – considering standard forensic techniques such as hashing for known files, file signature analysis, application-level analysis. This provides a mechanism that is capable of utilising the A E P with several other components that are able to filter, prioritise and visualise artefacts of interest to investigator. The approach, known as Automated Forensic Examiner (AFE), is capable of identifying potential evidence in a more efficient and effective manner. The approach was evaluated by a number of experts in the field, and it was unanimously agreed that the chosen research problem was one with great validity. Further to this, the experts all showed support for the Automated Forensic Examiner based on the results of cases analysed.
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Makris, Stavros. "GEOGRAPHIC PROFILING. LOCATING THE SERIAL MURDERERS." Thesis, Malmö universitet, Fakulteten för hälsa och samhälle (HS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-26427.

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Geographic profiling is a technique used by crime investigators and the police to examine the locations of a connected series of crimes, to determine the most probable area of the offender’s residence. Using both qualitative and quantitative methods, Geographic profiling helps to better interpret the spatial behavior of an offender and focuses the investigation on a specific and smaller area of the community. From the abovementioned and from previous research, we know that Geographic profiling is useful in serial crimes such as in cases of serial murderers, serial rapists etc. Having as a point of reference Malmö, because of the many shooting incidents that have happened through the last years, in this master thesis dissertation, a systematic literature review on Geographic Profiling was conducted while at the same time the usefulness of the method in locating the serial murderers was examined.
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Lai, Ka-ying, and 黎家盈. "Profiling internet pirates." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46606920.

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Henriques, Nuno Miguel de Jesus. "Crime de incêndio urbano: características do incendiário urbano na região autónoma da Madeira." Bachelor's thesis, [s.n.], 2016. http://hdl.handle.net/10284/5635.

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Projeto de Graduação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de licenciado em Criminologia<br>O presente estudo tem como objetivo geral, avaliar que características do incendiário, apresentadas nos estudos sobre esta temática, prevalecem no “perfil” do incendiário urbano na Região Autónoma da Madeira, no período de 2011 a 2015, com base nas classificações do perfil do incendiário, resultantes do método de investigação de Profiling Criminal. Neste contexto, destacamos a classificação do Perfil do Incendiário apresentada por Douglas e colaboradores, e a tipologia portuguesa do comportamento do incendiário florestal, do Instituto Superior da Polícia Judiciária e Ciências Criminais, que identificam as categorias do incendiário de acordo com o motivo pelo qual o crime foi cometido (e.g., vandalismo, excitação, vingança) e as respetivas características sociodemográficas (e.g., género, faixa etária, situação profissional) e comportamentais (e.g., fontes de ignição, altura do crime). Para esta investigação enunciaram- se cinco objetivos específicos: 1) identificar o número de ocorrências de incêndio urbano na RAM; 2) calcular o número de incêndios que ocorreram em edifícios e em viaturas; 3) identificar o número de suspeitos, arguidos e detidos na RAM no período de 2011 a 2015; 4) identificar as características sociodemográficas, comportamentais e motivacionais do incendiário urbano na RAM; e 5) discriminar as diferenças e semelhanças, das características apuradas do estudo do incendiário urbano da RAM, com as presentes nos estudos sobre esta temática. Para o efeito procedeu-se à análise do conteúdo dos inquéritos da Polícia Judiciária, no período de 2011 a 2015, referentes aos 55 sujeitos constituídos arguidos pelo crime de incêndio. Os dados apurados revelam que este crime é cometido principalmente por homens (91%), adultos entre os 31 e 60 anos (56%), solteiros (65%), desempregados (67%), com antecedentes criminais (55%), sem prevalência de comportamentos aditivos no momento do crime (75%), sendo o principal motivo a vingança (81%).Estes resultados apontam para algumas discrepâncias relativamente às classificações acima referenciadas.<br>This study has the general objective to assess that incendiary characteristics presented in the studies on this subject, prevail in the "profile" of urban incendiary in Madeira, in the period from 2011 to 2015, based on the profile rankings incendiary, resulting from the Criminal Profiling research method. In this context, we highlight the classification of Incendiary Profile by Douglas and employees, and the Portuguese type of forest incendiary behavior, the Higher Institute of the Judiciary and Criminal Science Police, which identify the arsonist of categories according to the reason the crime was committed (eg, vandalism, excitement, revenge) and the respective socio-demographic characteristics (eg, gender, age, employment status) and behavioral (eg, sources of ignition, crime height). For this investigation enunciated are five specific objectives: 1) to identify the number of urban fire occurrences in RAM; 2) calculate the number of fires that occurred in buildings and vehicles; 3) identify the number of suspects, accused and held in RAM in 2011-2015 period; 4) identify the sociodemographic, behavioral and motivational characteristics of urban incendiary in RAM; and 5) determine the differences and similarities of the characteristics determined in the study of urban incendiary RAM, with those present in the studies on this subject. For this purpose we proceeded to the analysis of the content of the surveys of the Judicial Police in the period 2011 to 2015, relating to 55 subjects made defendants by fire crime. The data collected show that this crime is mostly committed by men (91%), adults between 31 and 60 years (56%), single (65%), unemployed (67%), criminal records (55%), without prevalence of addictive behavior at the time of the crime (75%), and the main reason revenge (81%). These results suggest some discrepancies regarding the above referenced ratings.
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Godwin, Grover Maurice. "Inner themes-outer behaviours a multivariate facet model of U.S. serial murderers' crime scene actions /." Thesis, Online version, 1998. http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.263344.

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Bethune, Richard Alan. "Profiling white-collar criminals : what is white-collar crime, who perpetrates it and why?" Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10609.

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Following a period of resurgence in academic interest in the subject over the last 30-40 years, white-collar crime has found greater prominence within criminology. Efforts over this period have however failed to produce a single satisfactory and agreed-upon definition, a consistent and coherent body of research, and a single theory which can account for all forms of white-collar crime. This thesis aims to address certain shortcomings in the current state of white-collar crime theory and understanding. Part 1) addresses the issues of both conceptual definition of white-collar crime and specific behaviours as proscribed within the Legislation. Part 2) examines current criminological theory and research on individual differences (arguably the biggest gap in current knowledge in the area of white-collar crime); it examines the origins and current state of offender profiling in crime prevention, before Part 3) presents original research on establishing offence-specific white-collar criminal profiles based on demographic, sociological, psychological, organisational and motivational factors. Part 4) examines why certain individuals may perpetrate certain crimes in certain situations, beginning with a review of those few white-collar crime specific theories that do exist, before reviewing traditional sociological theories and attempting to apply them to white-collar crime; finally in Part 5) a new conceptual framework for white-collar crime is presented, which is referred to as the theory of ‘Differential Assimilation’. I bring together each of these chapters and situate the thesis within current research and literature, summarising how it engages and contributes to the field of white-collar crime. I include suggestions for the practical application of certain white-collar crime prevention techniques within organisations.
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Adderley, Richard. "The use of data mining techniques in crime trend analysis and offender profiling." Thesis, University of Wolverhampton, 2007. http://hdl.handle.net/2436/15413.

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The aim of this project is to ascertain whether the data in existing Police recording systems can be used by existing mature data mining techniques in an efficient manner to achieve results that are more accurate than those achieved by Police specialists when analysing crime. The Police Service has no formalised methodology of recording and analysing crime data and it is incumbent on each Force to train and develop appropriate personnel to provide operational analysis. Police data is inconsistent and, frequently, incomplete making the task of formal analysis far more difficult and current analytical practices are semi-manual and time consuming producing results of limited accuracy. These analytical processes would benefit from using data mining techniques within a structured approach as discussed within this thesis. The usage of supervised and unsupervised learning techniques within a structured methodology to mining Police data is evaluated. The research demonstrates that data mining techniques can be successfully used in operational policing. High volume crimes such as burglary that have been committed by one or more known offenders can be classified and the model used to attribute currently undetected crimes to one or more of those known offenders. Burglary crimes that previously had no overt relationship and the identity of the offender is unknown can be clustered with the ability to suggest one or more offenders who may be responsible for committing the crime. The same techniques used in analysing high volume crime can be used to link low volume major crimes such as serious sexual assaults. The recognised benefits include an improvement in the accuracy of results over current semi-manual processes and a reduction in the time taken to achieve those results.
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Canhoto, Ana Isabel. "Profiling behaviour : the social construction of categories in the detection of financial crime." Thesis, London School of Economics and Political Science (University of London), 2007. http://etheses.lse.ac.uk/2154/.

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Profiles are knowledge constructs that represent and identify a data subject. While not a new phenomenon, the use of profiling has exploded and its ubiquity is likely to increase, as a result of the widespread adoption of monitoring technology. The literature on profile development tends to refer to the practice, the technique or the technology of profiling, separately. Little has been written on how the perspectives interact with each other and, ultimately, shape the emerging behaviour profile. In order to map out the elements that impact on behaviour profiling, this thesis uses organisational semiotics, enhanced with classification theory, for key constructs. The study views profilers as agents who interpret and act on available information according to particular sets of technical, formal and informal factors and who, in the presence of incomplete or ambiguous stimuli, may fill in or distort information. Furthermore, the thesis examines how the position of the interpreter in the profiling process influences the result of the exercise. A case study conducted in a British financial institution demonstrates how technical systems and profilers acting in particular contexts influence each other in a dialectical process, whereby the characteristics of the data available impact the analysts' ability to interpret an event and, at the same time, the analysts tend to look for in the data only what they consider conceivable. The discussion centres on the influence of the type of stimuli available, the relational context and the actions of individual profilers in shaping the emerging meaning, in the context of financial crime detection. In addition, it considers the role of technical, formal and informal systems to overcome eventual variances in meaning. The thesis extends the applicability of organisational semiotics with classification theory. Inspired by models of sequential encounters, the thesis provides a methodological contribution by developing a tool for the analysis of sequential meaning making processes. A practical contribution emerges from mapping the impact of the profilers' perceptions into the emerging profile, and by suggesting mechanisms for shaping those perceptions.
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Milligen, Stephen. "Better to reign in hell : serial killers, media panics and the FBI." Thesis, University of Ulster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310110.

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Hellqvist, Sara. "Offenders’ interrogation behavior: the importance of crime scene characteristics and corroborating evidence." Thesis, Stockholms universitet, Psykologiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-79541.

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Offender profiling aims at generating information of an offender based upon the crime committed and the goal is to be an adjunct in the crime invesigation process. The aim of the study was to examine crime scene characteristics and corroborating evidence and their associations with offenders' interrogation behavior. Results from 207 analyzed police files indicated that reactive (impulsive) offenders confessed more often when there was technical evidence against them compared to instrumental (calculating) offenders. Reactive offenders also had more injuries. Injured reactive offenders were more inclined to deny, whereas injured instrumental offenders claimed amnesia more often. When comparing the confessions injured reactive offenders were more inclined to confess than injured instrumental offenders. There was also a strong tendency implying more confessions with witness reports. The findings point towards the practical usefulness of information of crime scene characteristics and corroborating evidence in the interrogation phase by better tailoring the interviewing strategy.
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Books on the topic "Crime profiling"

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Ainswoth, Peter B. Offender profiling and crime analysis. Willan Pub., 2001.

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MacKay, Jenny. Criminal profiling. Lucent Books, 2009.

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Brunson, Rodney. Racial profiling. Thomson/Wadsworth, 2008.

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Wayne, Petherick, ed. Serial crime: Theoretical and practical issues in behavioral profiling. 2nd ed. Elsevier Academic Press, 2009.

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Wayne, Petherick, ed. Serial crime: Theoretical and practical issues in behavioral profiling. Academic Press/Elsevier, 2006.

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Laukkanen, Manne. Geographic profiling: Using home to crime distances and crime features to predict offender home location. Nord Print, 2007.

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Manski, Charles F. Search profiling with partial knowledge of deterrence. National Bureau of Economic Research, 2005.

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V, Canter David, and Alison Laurence J, eds. Profiling in policy and practice. Ashgate, 1999.

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Craven, Diane. Profiling crime victims: Tracking victims in Oregon from 1985 to 1987 : phase two. Crime Analysis Center, Dept. of Justice, 1988.

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Kerr, Gordon. Mapping the trail of a crime: How experts use geographic profiling to solve the world's most notorious cases. Reader's Digest Association, 2011.

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Book chapters on the topic "Crime profiling"

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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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Rossmo, D. Kim. "Geography of Crime." In Geographic Profiling, 2nd ed. Routledge, 2025. https://doi.org/10.4324/9781003323594-8.

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Gerard, Fanny, Christian Mormont, and Richard N. Kocsis. "Offender Profiles and Crime Scene Patterns in Belgian Sexual Murders." In Criminal Profiling. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-60327-146-2_2.

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Lucas, Douglas M. "Introduction of DNA Profiling." In A Life of Crime. CRC Press, 2018. http://dx.doi.org/10.4324/9780429468476-22.

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Charney, Noah. "Profiling Art Forgers." In The Palgrave Handbook on Art Crime. Palgrave Macmillan UK, 2019. http://dx.doi.org/10.1057/978-1-137-54405-6_14.

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Donald, Ian. "Crime, Environment, and Geographical Profiling." In Environmental and Architectural Psychology. Routledge, 2022. http://dx.doi.org/10.4324/9780429274541-5.

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Hicks, Scotia J., and Bruce D. Sales. "Crime Scene Evidence." In Criminal profiling: Developing an effective science and practice. American Psychological Association, 2006. http://dx.doi.org/10.1037/11428-007.

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Dean, Geoff, and Sarah Yule. "Criminal Profiling." In The Palgrave Handbook of Australian and New Zealand Criminology, Crime and Justice. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55747-2_56.

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Yezer, Anthony M. "Economics of Profiling and Prediction." In Economics of Crime and Enforcement, 2nd ed. Routledge, 2025. https://doi.org/10.4324/9781003521594-27.

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Killmier, Bronwyn, Katrin Mueller-Johnson, and Richard Timothy Coupe. "Offender–Offence Profiling: Improving Burglary Solvability and Detection." In Crime Solvability Factors. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17160-5_12.

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Conference papers on the topic "Crime profiling"

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Wu, Jia, Farid Meziane, Mohamed Saraee, Rob Aspin, and Timothy Hope. "Mining the crime survey to support crime profiling." In 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE, 2016. http://dx.doi.org/10.1109/iwcim.2016.7801189.

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Arthur, Kweku K., Martin S. Olivier, Hein S. Venter, and Jan H. P. Eloff. "Considerations Towards a Cyber Crime Profiling System." In 2008 Third International Conference on Availability, Reliability and Security. IEEE, 2008. http://dx.doi.org/10.1109/ares.2008.107.

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Sundaresan, Srikanth, Damon McCoy, Sadia Afroz, and Vern Paxson. "Profiling underground merchants based on network behavior." In 2016 APWG Symposium on Electronic Crime Research (eCrime). IEEE, 2016. http://dx.doi.org/10.1109/ecrime.2016.7487943.

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Tajuddin, Taniza, Azizah Abd Manaf, Nor Fatimah Awang, Siti Rafidah Muhamat Dawam, Noor Rasidah Ali, and Rafidah Amat. "Crime Suspect Profiling (CSP) for Forensic Investigation on Smartphone." In 2019 4th International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE). IEEE, 2019. http://dx.doi.org/10.1109/icraie47735.2019.9037772.

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Xifan Zheng, Yang Cao, and Zhiyu Ma. "A mathematical modeling approach for geographical profiling and crime prediction." In 2011 IEEE 2nd International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2011. http://dx.doi.org/10.1109/icsess.2011.5982362.

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Dimou, A., A. Axenopoulos, and P. Daras. "Introducing Target Profiling for Context-Aware Tracking." In 6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0107.

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Yee Ling Boo and D. Alahakoon. "Application of a brain inspired model for profiling multi-view crime patterns." In 2010 5th International Conference on Information and Automation for Sustainability (ICIAfS). IEEE, 2010. http://dx.doi.org/10.1109/iciafs.2010.5715712.

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Desrousseaux, Roxane, Gilles Bernard, and Jean-Jacques Mariage. "Profiling Money Laundering with Neural Networks: a Case Study on Environmental Crime Detection." In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai52525.2021.00059.

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Konini, Ivas. "The Role of Criminal Psychology in Albania’s Criminal Justice System." In 9th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2023. http://dx.doi.org/10.31410/eraz.2023.549.

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Abstract:
Forensic psychology is an emerging field that has gained increasing attention in the Albanian justice system. It encompasses the application of psy­chological knowledge and principles to aid judges, attorneys, and law enforce­ment officials in understanding complex legal issues, investigating crimes, and making informed decisions. The purpose of this paper is to explore the role and significance of forensic psychology in the Albanian justice system. Forensic psychologists in Albania play a crucial role in criminal proceedings by providing expert psychological assessments of defendants, witnesses, and vic­tims. They evaluate the mental capacity and state of mind of defendants at the time of the crime, which helps judges and juries to make informed decisions. Fo­rensic psychologists also assist with profiling, risk assessments, and other inves­tigative techniques to aid in criminal investigations. One of the essential benefits of using forensic psychology in the Albanian jus­tice system is to reduce prejudice and bias. Forensic psychologists provide ob­jective, scientific evidence to the court, which improves the fairness and accu­racy of criminal trials. The challenge facing forensic psychology in Albania is the lack of specialized training and education programs in forensic psychology. There are few profes­sionals in the field, and therefore, forensic psychology services are not widely available. Investing in more education and training programs would increase the number of qualified experts in the field, thus leading to more extensive and effective utilization of forensic psychology in criminal proceedings. In conclusion, forensic psychology is a vital aspect of the Albanian justice sys­tem. Its use can help reduce bias and prejudice in criminal trials while improv­ing the accuracy of decisions. However, the field faces challenges in terms of the need for specialized training and education programs for professionals. By find­ing the right balance between complexity and variation, we can ensure that our content is engaging and informative.
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Chen, Ruihan. "Profiling of Crimes Committed by Psychopathic Offenders." In 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022). Atlantis Press, 2022. http://dx.doi.org/10.2991/assehr.k.220704.108.

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Reports on the topic "Crime profiling"

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Gupta, Shweta. DNA Fingerprinting: A Major Tool for Crime Investigation. Spring Library, 2021. http://dx.doi.org/10.47496/nl.blog.24.

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DNA profiling has revolutionized the criminal justice system over the past decades. It has even enabled the law enforcement from exonerating people who have been convicted wrongfully of crimes which they did not commit.
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Kolencik, Marian. A critical evaluation of the risk indicators of criminal conduct involving CBRN and explosive materials - Behavioural and observational analysis in crime detection and investigation. ISEM Institute, n.p.o., 2023. http://dx.doi.org/10.52824/vzrb5079.

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Terrorist attacks using explosives and CBRN (Chemical, Biological, Radiological and Nuclear) materials have been present throughout history. While the frequency of CBRN terrorist attacks is relatively low compared to those with explosives and other types of weapons, it is crucial to treat the efforts of both terrorist organizations and individuals with appropriate gravity in order to avert catastrophic consequences. Identifying warning signs that indicate criminal behaviour is crucial for preventing planned crimes or terrorist attacks, and there is a need for more precise coverage of potential risk indicators related to CBRN and explosive crimes. This research aimed at examining and scrutinizing possible warning signs associated with planning and conducting terrorist attacks using CBRN and explosive materials. The research was implemented in three phases. First, comprise the systematic literature review. In the second phase, the case studies and CCTV records from past cases from Europe, USA, Australia and Asia were analysed and the aim was to create a list of risk indicators and categories for future reference by developing a methodological tool. The last phase represented a survey in which the practitioners from European Law enforcement and Intelligence Agencies critically assessed the list of risk indicators and their categories created based on the previous two steps of the research. The last goal was to gain the agreement and endorsement of law enforcement officials from different European nations regarding the validity and importance of recognized risk indicators and their categories, as well as their ranking for use in operational tasks, investigations, and training. The majority of the respondents found the identified categories and risk indicators as reliable and relevant for their operational activities and investigations. For the second research question, the survey results prioritized categories of risk indicators that are most suitable for the detection tactics of investigators and intelligence officers. The third research question examined the ease of observing identified risk indicators, with the category of technological detection/air sampling alarm risk indicators ranking as the easiest to detect. Finally, the survey found that the identified risk indicators are useful for training activities of security entities. Several final comments and recommendations from participants were also discussed, emphasizing the importance of considering multiple factors when identifying risk indicators and the value of the comprehensive list of identified risk indicators. The publication also examines some terrorist theories, the advantages, limitations, and the ongoing debate surrounding the use of profiling in protective security.
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