Download or read book A Machine Learning Based Model of Boko Haram written by V. S. Subrahmanian and published by Springer Nature. This book was released on 2020-12-11 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies to shape Boko Haram’s behavior and reduce attacks by them. This book also identifies conditions that predict sexual violence, suicide bombings and attempted bombings, abduction, arson, looting, and targeting of government officials and security installations. After reducing Boko Haram’s history to a spreadsheet containing monthly information about different types of attacks and different circumstances prevailing over a 9 year period, this book introduces Temporal Probabilistic (TP) rules that can be automatically learned from data and are easy to explain to policy makers and security experts. This book additionally reports on over 1 year of forecasts made using the model in order to validate predictive accuracy. It also introduces a policy computation method to rein in Boko Haram’s attacks. Applied machine learning researchers, machine learning experts and predictive modeling experts agree that this book is a valuable learning asset. Counter-terrorism experts, national and international security experts, public policy experts and Africa experts will also agree this book is a valuable learning tool.

Download or read book A Machine Learning Based Model of Boko Haram written by V. S. Subrahmanian and published by . This book was released on 2021 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies to shape Boko Haram's behavior and reduce attacks by them. This book also identifies conditions that predict sexual violence, suicide bombings and attempted bombings, abduction, arson, looting, and targeting of government officials and security installations. After reducing Boko Haram's history to a spreadsheet containing monthly information about different types of attacks and different circumstances prevailing over a 9 year period, this book introduces Temporal Probabilistic (TP) rules that can be automatically learned from data and are easy to explain to policy makers and security experts. This book additionally reports on over 1 year of forecasts made using the model in order to validate predictive accuracy. It also introduces a policy computation method to rein in Boko Haram's attacks. Applied machine learning researchers, machine learning experts and predictive modeling experts agree that this book is a valuable learning asset. Counter-terrorism experts, national and international security experts, public policy experts and Africa experts will also agree this book is a valuable learning tool.

Download or read book Anomaly Detection Principles and Algorithms written by Kishan G. Mehrotra and published by Springer. This book was released on 2017-11-18 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.

Download or read book GIS and Machine Learning for Small Area Classifications in Developing Countries written by Adegbola Ojo and published by CRC Press. This book was released on 2020-12-30 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.

Download or read book Geographies of Gender Based Violence written by Hannah Bows and published by Policy Press. This book was released on 2022-09-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: What role does physical and virtual space play in relation to gender-based violence? Experts from the Global North and South examine how spaces can facilitate or prevent GBV and showcase strategies for prevention and intervention from women and LGBTQ+ people.

Download or read book Handbook of Research on Big Data Clustering and Machine Learning written by Garcia Marquez, Fausto Pedro and published by IGI Global. This book was released on 2019-10-04 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.

Download or read book Illumination of Artificial Intelligence in Cybersecurity and Forensics written by Sanjay Misra and published by Springer Nature. This book was released on 2022-02-08 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a variety of topics that span from industry to academics: hybrid AI model for IDS in IoT, intelligent authentication framework for IoMT mobile devices for extracting bioelectrical signals, security audit in terms of vulnerability analysis to protect the electronic medical records in healthcare system using AI, classification using CNN a multi-face recognition attendance system with anti-spoofing capability, challenges in face morphing attack detection, a dimensionality reduction and feature-level fusion technique for morphing attack detection (MAD) systems, findings and discussion on AI-assisted forensics, challenges and open issues in the application of AI in forensics, a terrorist computational model that uses Baum–Welch optimization to improve the intelligence and predictive accuracy of the activities of criminal elements, a novel method for detecting security violations in IDSs, graphical-based city block distance algorithm method for E-payment systems, image encryption, and AI methods in ransomware mitigation and detection. It assists the reader in exploring new research areas, wherein AI can be applied to offer solutions through the contribution from researchers and academia.

Download or read book Semantic Web Technologies written by Archana Patel and published by CRC Press. This book was released on 2022-10-17 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in ‘epidemic Covid-19’, ‘e-learning platforms and systems’, ‘block chain’, ‘open online courses’, and ‘visual analytics in healthcare’ is described as well. This book: Explores all the critical aspects of semantic web technologies (SWTs) Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.

Download or read book Developing Intelligence Theory written by Peter Gill and published by Routledge. This book was released on 2020-06-04 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing Intelligence Theory analyses the current state of intelligence theorisation, provides a guide to a range of approaches and perspectives, and points towards future research agendas in this field. Key questions discussed include the role of intelligence theory in organising the study of intelligence, how (and how far) explanations of intelligence have progressed in the last decade, and how intelligence theory should develop from here. Significant changes have occurred in the security intelligence environment in recent years—including transformative information technologies, the advent of ‘new’ terrorism, and the emergence of hybrid warfare—making this an opportune moment to take stock and consider how we explain what intelligence does and how. The material made available via the 2013 Edward Snowden leaks and subsequent national debates has contributed much to our understanding of contemporary intelligence processes and has significant implications for future theorisation, for example, in relation to the concept of ‘surveillance’. The contributors are leading figures in Intelligence Studies who represent a range of different approaches to conceptual thinking about intelligence. As such, their contributions provide a clear statement of the current parameters of debates in intelligence theory, while also pointing to ways in which the study of intelligence continues to develop. This book was originally published as a special issue of Intelligence and National Security.

Download or read book Metaheuristics for Enterprise Data Intelligence written by Kaustubh Vaman Sakhare and published by CRC Press. This book was released on 2024-08-07 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.

Download or read book The Boko Haram Reader written by Abdulbasit Kassim and published by Oxford University Press. This book was released on 2018-07-01 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since it erupted onto the world stage in 2009, people have asked, what is Boko Haram, and what does it stand for? Is there a coherent vision or set of beliefs behind it? Despite the growing literature about the group, few if any attempts have been made to answer these questions, even though Boko Haram is but the latest in a long line of millenarian Muslim reform groups to emerge in Northern Nigeria over the last two centuries. The Boko Haram Reader offers an unprecedented collection of essential texts, documents, videos, audio, and nashids (martial hymns), translated into English from Hausa, Arabic and Kanuri, tracing the group's origins, history, and evolution. Its editors, two Nigerian scholars, reveal how Boko Haram's leaders manipulate Islamic theology for the legitimisation, radicalization, indoctrination and dissemination of their ideas across West Africa. Mandatory reading for anyone wishing to grasp the underpinnings of Boko Haram's insurgency, particularly how the group strives to delegitimize its rivals and establish its beliefs as a dominant strand of Islamic thought in West Africa's religious marketplace.

Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Download or read book Africa in the New World Order written by Olayiwola Abegunrin and published by Lexington Books. This book was released on 2014-07-08 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the role of the emerging African nations in the new international order of the twenty-first century. Since the end of the Cold War, little significance has been placed on the African continent in the security and political considerations of the Western world. However, post-9/11 international security has been redefined, and new challenges have been identified. Thus, at the beginning of the twenty-first century, Africa is facing a variety of new security challenges. Africa has become an increasingly important battleground in the fight against terrorism. Since the beginning of 2011, the new revolutions, now known as the Arab Spring, that swept through North Africa have created new challenges for the African continent and are compounding the African peoples’ struggles for poverty alleviation, state stability, security, socio-political and socio-economic development, democracy, and good governance. In addition to these crises of civil war, ethnic conflict, state insecurity, and rampant corruption at all levels, the HIV/AIDS pandemic has ravaged the continent for the past four decades. The only major pan-African organization—the African Union—is unable to lead and defend the continent effectively. At this crucial period when the continent is confronted with these myriad of security challenges, it needs effective, strong leadership that possesses both human and natural resources to play a leadership role in Africa and lead the continent in the new global order of the twenty-first century. The contributors to this volume analyze many of these issues and place them in the wider context of global security.

Download or read book Boko Haram Islamism Politics Security and the State in Nigeria written by Marc-Antoine Perouse De Montclos and published by Tsehai Publishers. This book was released on 2015-02-01 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first attempt to understand Boko Haram in a comprehensive and consistent way. It examines the early history of the sect and its transformation into a radical armed group. It analyses the causes of the uprising against the Nigerian state and evaluates the consequences of the on-going conflict from a religious, social and political point of view. The book gives priority to authors conducting fieldwork in Nigeria and tackles the following issues: the extent to which Boko Haram can be considered the product of deprivation and marginalisation; the relationship of the sect with almajirai, Islamic schools, Sufi brotherhoods, Izala, and Christian churches; the role of security forces and political parties in the radicalisation of the sect; the competing discourses in international and domestic media coverage of the crisis; and the consequences of the militarisation of the conflict for the Nigerian government and the civilian population, Christian and Muslim. About the Editor: Marc-Antoine Perouse de Montclos is a Doctor in Political Science and a Professor at the French Institute of Geopolitics in the University of Paris 8. A specialist on armed conflicts in Africa south of the Sahara, he graduated from the Institut d'etudes politiques de Paris (IEP), where he teaches, and is a researcher at the Institut de recherche pour le developpement (IRD). He lived for several years in Nigeria, South Africa and Kenya. He has published some eighty articles and books, including Le Nigeria (1994), Violence et securite urbaines (1997), L'aide humanitaire, aide a la guerre? (2001), Villes et violences en Afrique subsaharienne (2002), Diaspora et terrorisme (2003), Guerres d'aujourd'hui (2007), Etats faibles et securite privee en Afrique noire (2008), Les humanitaires dans la guerre (2013), and La tragedie malienne (2013). Reviews For scholars, government officials, journalists, and civic actors, this book expands our understanding of this enigmatic jihadist movement, its genesis, evolution, and political implications. In light of the global significance of militant Islam, the book is indispensable for students of Nigeria, Africa, Muslim societies, and armed conflicts.-Richard Joseph, John Evans Professor of International History and Politics, Northwestern University This collection of essays on Boko Haram is much the best yet-well informed, coolly competent. With the insurgency still evolving, we really need this guide to its early days.-Murray Last, Emeritus Professor of Anthropology, University College of London This valuable collection assembles notable experts who analyze the messages and behavior of Boko Haram. The collection also provides nuanced treatments of actors involved in the conflict, including the Nigerian state and Nigerian Christians.-Alex Thurston, Visiting Assistant Professor, African Studies Program, Georgetown University

Download or read book Statistical Machine Learning written by Richard Golden and published by CRC Press. This book was released on 2020-06-24 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.

Download or read book Data Science and Innovations for Intelligent Systems written by Kavita Taneja and published by CRC Press. This book was released on 2021-09-30 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.

Download or read book Urban Remote Sensing written by Xiaojun X. Yang and published by John Wiley & Sons. This book was released on 2021-10-11 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban Remote Sensing The second edition of Urban Remote Sensing is a state-of-the-art review of the latest progress in the subject. The text examines how evolving innovations in remote sensing allow to deliver the critical information on cities in a timely and cost-effective way to support various urban management activities and the scientific research on urban morphology, socio-environmental dynamics, and sustainability. Chapters are written by leading scholars from a variety of disciplines including remote sensing, GIS, geography, urban planning, environmental science, and sustainability science, with case studies predominately drawn from North America and Europe. A review of the essential and emerging research areas in urban remote sensing including sensors, techniques, and applications, especially some critical issues that are shifting the ­directions in urban remote sensing research. Illustrated in full color throughout, including numerous relevant case studies and extensive discussions of important concepts and cutting-edge technologies to enable clearer understanding for non-technical audiences. Urban Remote Sensing, Second Edition will be of particular interest to upper-division undergraduate and graduate students, researchers and professionals working in the fields of remote sensing, geospatial information, and urban & environmental planning.