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An Association Model for Implicit Crime Link Analysis
Abstract
Link analysis has been an important tool in crime investigation. Explicit social links, such as kinship, financial exchange,
and telephone connection, are often used to construct links between criminals. However implicit links, such as modus operandi,
times of day, and geographic relationship, are seldom used to establish relationships between crime entities. This paper proposes
an association model based on modus operandi and geographic relationship to establish links among crime cases and criminals.
A data collection from local police department is used for experiment to evaluate the performance of the proposed approach.
Currently, the local government is one of the most important elements of the constitutional order of States, following in his political development of democratic principles. At the same time, showing relatively high autonomy, local governments strengthen state power, enhances its effectiveness and that of our country in the modern period is crucial. Ensuring personal, public, and their component parts criminological security municipal government is part of the national strategy to combat crime. Municipal Authority, representing the will of the people inhabiting the territory of a particular municipality, as the subject of management should always be oriented to the actual criminological situation in the region and a particular locality, be able to actively and quickly state agencies to respond to specific adverse circumstances that are often unpredictable and produce the development of the criminal situation in the territory of the municipality or region.
The improper use of law enforcement and data hinders the crime-fighting capabilities of government agencies. Police personnel lack in sharing information with other agencies. To overcome the challenges of handling excessive information, COPLINK, an integrated information and knowledge management environment was introduced. COPLINK helps in capturing, analyzing, visualizing and sharing law enforcement-related information in social and organizational contexts. COPLINK consists of two main components, COPLINK Connect whic has been designed to allow diverse police departments to share data seamlessly through an easy to use interface and COPLINK Detect which uncovers various types of criminal associations that exist in police databases.
This chapter discusses the general method, principles, and practice standards of behavioral evidence analysis (BEA). BEA is an ideo-deductive method of crime-scene analysis (CSA) and criminal profiling. It involves the examination and interpretation of physical evidence, forensic victimology, and crime-scene characteristics. For the purposes of criminal profiling, the results of these individual examinations can be analyzed for behavioral patterns and clusters that evidence offender characteristics of investigative or forensic relevance. BEA is idiographic in that it is concerned with studying the aspects of individual cases and offenders through the lens of forensic analysis, not groups of similar cases and offenders. It is deductive in that inferences and conclusions are not inductive theories or nomothetic predictions in disguise; they are based on critical thinking, the scientific method, and deductive logic. BEA is consequently guided by strict adherence to set principles and practice standards that embrace these concepts.
This is the third edition of the premier professional reference on the subject of data mining, expanding and updating the previous market leading edition. This was the first (and is still the best and most popular) of its kind. Combines sound theory with truly practical applications to prepare students for real-world challenges in data mining. Like the first and second editions, Data Mining: Concepts and Techniques, 3rd Edition equips professionals with a sound understanding of data mining principles and teaches proven methods for knowledge discovery in large corporate databases. The first and second editions also established itself as the market leader for courses in data mining, data analytics, and knowledge discovery. Revisions incorporate input from instructors, changes in the field, and new and important topics such as data warehouse and data cube technology, mining stream data, mining social networks, and mining spatial, multimedia and other complex data. This book begins with a conceptual introduction followed by a comprehensive and state-of-the-art coverage of concepts and techniques. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability. relational data. -- A comprehensive, practical look at the concepts and techniques you need to get the most out of real business data. -- Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning, -- Scores of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects. -- Complete classroom support for instructors as well as bonus content available at the companion website. A comprehensive and practical look at the concepts and techniques you need in the area of data mining and knowledge discovery.
Part I. Introduction: Networks, Relations, and Structure: 1. Relations and networks in the social and behavioral sciences 2. Social network data: collection and application Part II. Mathematical Representations of Social Networks: 3. Notation 4. Graphs and matrixes Part III. Structural and Locational Properties: 5. Centrality, prestige, and related actor and group measures 6. Structural balance, clusterability, and transitivity 7. Cohesive subgroups 8. Affiliations, co-memberships, and overlapping subgroups Part IV. Roles and Positions: 9. Structural equivalence 10. Blockmodels 11. Relational algebras 12. Network positions and roles Part V. Dyadic and Triadic Methods: 13. Dyads 14. Triads Part VI. Statistical Dyadic Interaction Models: 15. Statistical analysis of single relational networks 16. Stochastic blockmodels and goodness-of-fit indices Part VII. Epilogue: 17. Future directions.
In response to the September 11, 2001 terrorist attacks, major government efforts to modernize federal law enforcement authorities' intelligence collection and processing capabilities have been initiated. At the state and local levels, crime and police report data is rapidly migrating from paper records to automated records management systems in recent years, making them increasingly accessible. However, despite the increasing availability of data, many challenges continue to hinder effective use of law enforcement data and knowledge, in turn limiting crime-fighting capabilities of related government agencies. As part of nationwide, ongoing digital government initiatives, COPLINK is an integrated...
Grime Scene Investigation was an eight part television series broadcast on BBC3 during Autumn 2006. In each episode a team of scientists from Aston University would visit a member of the public in their mobile laboratory to reveal the hidden world of microbes living in, on and around them. In this way microbiology was communicated in an informative and entertaining way.
In this episode, Grime Scene Investigation dives head first into the murky world of Hooligan Swamp - a Bristolian band who pride themselves on living the rock'n'roll lifestyle to the full. The Swamp are facing an eviction notice and the environmental health authorities are threatening to brand their home a health hazard.
The rapid development and integration of computer and communication technology have made the Internet one of the major media for communication. Nowadays, the Internet and world-wide-web (WWW) are used in every facet of modern society. This research proposes to develop a link analysis method based on Web page co-occurrence mining. The Google Internet search engine is used to gather Web pages relevant to a certain search subject. The proper nouns on each relevant page are then extracted using the Chinese Word Segmentation System, developed by Academia Sinica, Taiwan. The co-occurrence data of proper nouns is then analyzed and used for constructing link charts for visualization and further analysis.
Crime Pattern Analysis: An Investigative Tool
- M Palmiotto
Locality Profiling and Its Application in Serial Street Robbery Investigation
- R Z Chen
Application of the Vector Space Model on Criminal Record Retrieval
- J H Wang
- B T Lin
- C C Lin