Predictive Crime Analysis Using R

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Predictive Crime Analysis Using R

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Author : Jeffrey Strickland
language : en
Publisher: Lulu.com
Release Date : 2019-02-14

Predictive Crime Analysis Using R written by Jeffrey Strickland and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-14 with Law categories.

Predictive Crime Analysis using R is Dr. Strickland's second crime analysis book. In this volume, rather than using data to describe crime history, he uses it to predict crime using pattern created with advanced clustering methods, crime series linkage, and text analysis. Coverage includes prediction of conventional crime and terrorist attacks. The open-source software R is introduced and used in developing crime data, including Geo-spatial data, and constructing predictive models and performing post analysis. Using actual crime data from cities like Atlanta, Dr. Strickland also shows how to simulate additional data from actual data. Simulated data can then be used in cities with insufficient actual data, but with similar demographics and human behavior.

Crime Mapping And Spatial Data Analysis Using R

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Author : Juan Medina Ariza
language : en
Publisher: CRC Press
Release Date : 2023-04-27

Crime Mapping And Spatial Data Analysis Using R written by Juan Medina Ariza and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-27 with Mathematics categories.

Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis. This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis. It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis. It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence. In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data. We then introduce a series of tools to study spatial homogeneity and dependence. A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation. The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space. In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.

Data Science Applications Using R

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Author : Jeffrey Strickland
language : en
Publisher: Lulu.com
Release Date : 2019-11-13

Data Science Applications Using R written by Jeffrey Strickland and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with Business & Economics categories.

To write a single book about data science, at least as I view the discipline, would result in several volumes. I have come to view Data Science as a multidisciplinary field. People who engage in data science may be statisticians, economists, mathematicians, operations research analysts, and a myriad of other scientific professionals. Most would agree that data scientist have advance degrees in one or more of these disciplines. All practitioners would agree that Data is at center stage. This book is intended to demonstrate the multidisciplinary application of data science, using R-programming with R Studio.

Dark Web Pattern Recognition And Crime Analysis Using Machine Intelligence

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Author : Rawat, Romil
language : en
Publisher: IGI Global
Release Date : 2022-05-13

Dark Web Pattern Recognition And Crime Analysis Using Machine Intelligence written by Rawat, Romil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-13 with Computers categories.

Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.

Crime Analysis With Crime Mapping

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Author : Rachel Boba Santos
language : en
Publisher: SAGE
Release Date : 2012-02-29

Crime Analysis With Crime Mapping written by Rachel Boba Santos and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-29 with Computers categories.

In this text, Santos (criminal justice, Florida Atlantic U.) covers theories, practice, data, and analysis techniques associated with crime mapping and crime analysis. The first two parts of the text describe the field's theoretical foundations and detail the crime analysis process. Part 3 describes the data, techniques, and products of tactical crime analysis, and part 4 explains techniques used in analyzing long-term crime and disorder problems, offering case examples. Part 5 considers administrative crime analysis. Revised to reflect current research and methods, this third edition provides a new typology that categorizes crime analysis results by the type of problem examined, the purpose of the analysis, and the type of audience for which the results are produced. Also new are profiles of professionals. The text is illustrated with b&w and two-color charts, maps, and aerial photos. The student website provides police reports, links to journal articles, and a link to ATAC software, which allows students to conduct crime analysis themselves. The instructor website offers tests, slides, syllabi, and assignments. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com).

Predictive Policing

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Author : Walter L. Perry
language : en
Publisher: Rand Corporation
Release Date : 2013-09-23

Predictive Policing written by Walter L. Perry and has been published by Rand Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-23 with Computers categories.

Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.

Intelligent Data Analytics For Terror Threat Prediction

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Author : Subhendu Kumar Pani
language : en
Publisher: John Wiley & Sons
Release Date : 2021-02-09

Intelligent Data Analytics For Terror Threat Prediction written by Subhendu Kumar Pani and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with Computers categories.

Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis. This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.

Advances In Machine Learning For Big Data Analysis

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Author : Satchidananda Dehuri
language : en
Publisher: Springer Nature
Release Date : 2022-02-24

Advances In Machine Learning For Big Data Analysis written by Satchidananda Dehuri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Technology & Engineering categories.

This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.

New Research In Crime Modeling And Mapping Using Geospatial Technologies

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Author : Michael Leitner
language : en
Publisher: Springer Nature
Release Date : 2025-03-10

New Research In Crime Modeling And Mapping Using Geospatial Technologies written by Michael Leitner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Science categories.

This edited volume offers innovative research and applications in the analysis, modelling, and mapping of crime using geospatial and GeoAI technologies. This is a follow-up publication of an edited volume by the same editor with a similar title, Crime Modeling and Mapping Using Geospatial Technologies, published by Springer in its popular Geotechnologies and the Environment series in 2013. The book comprises sixteen chapters authored by some of the most esteemed researchers in the field. These chapters are organized into four sections: big data and microspaces (Part I), mobility (Part II), drugs (Part III), and additional geospatial applications (Part IV). Part I includes five chapters focusing on interactive crime mapping by using large data sets obtained from social media and analyzing these data using AI applications; a fundamental spatial problem that considers spatial properties of a crime dataset to determine an adequate areal unit size; different aspects of the influence or prediction of crime in microspaces; and the use of sampled surface pollen to model the search space for documented forensic cases. Part II has four chapters that introduce two route generation heuristics that automate the creation of hot spots policing patrol routes; discuss how to optimize police response with two different maximal covering location problems; and examine how human mobility patterns impact crime trends and modelling. Part III consists of three chapters addressing opioid overdose patterns using a spatial mixed methods approach; spatial-temporal changes in hot spots of drug-related offences; and how geospatial technology can be used to empower stakeholders to make informed policy decisions about alcohol-related motor vehicle collisions. Part IV comprises four diverse chapters that do not fit under a single theme. The topics discussed include: the impact of video surveillance on the spatial distribution of crime; the identification of the location of missing persons outreach events with spatial clustering analysis methods; an examination of the distribution patterns of all types of juvenile delinquency to investigate underlying factors; and a review and comparison of GeoAI methods for detecting and mapping illegal logging. This book would be useful to faculty, students and research scholars from geography, sociology, criminal justice, criminology, forensic sciences, and other related disciplines as well as to crime analysts working for law enforcement agencies at the local, state, or federal levels from around the world.

Bio Inspired Computing

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Author : Anu Bajaj
language : en
Publisher: Springer Nature
Release Date : 2025-06-05

Bio Inspired Computing written by Anu Bajaj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Computers categories.

This book presents 53 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 13th World Congress on Information and Communication Technologies (WICT 2023), which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (IBICA-WICT 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of bio-inspired computing and ICT systems. IBICA-WICT 2023 had contributions by authors from 36 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners focused on advanced machine learning including deep learning methods, large language models, and its real-world applications.