Hsinchun Chen – författare

On September 11, 2001 the World became cognizant of the security challenges it faces on an international scale. With this awareness a commitment has come from the scientific, engineering, and health communities to help the world meet an array of security challenges. From these activities the science of "Intelligence and Security Informatics" is emerging, which will influence a new generation of policy makers, practitioners, researchers, and students. INTELLIGENCE AND SECURITY INFORMATICS FOR INTERNATIONAL SECURITY: Information Sharing and Data Mining presents a systematic national security research framework, and discusses IT technical components, and directions. The book reflects a decade of leading-edge research on intelligence and security informatics from the Artificial Intelligence Laboratory and the NSF COPLINK Center for Homeland Security Information Technology Research, as well as the application in real-world community situations by the center’s director and the book’s author, Dr. Hsinchun Chen.

Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introduced and examined in detail. It is the research and applications in these areas that are raising the technical horizons and expanding the utility of informatics to an increasing number of biomedical professionals and researchers. These concepts and techniques are illustrated with detailed case studies.

New information technologies are being applied swiftly to all levels of government service: local, county, regional and even national and international. Information technology (IT) is being used to improve data management and data sharing, planning and decision support, service delivery, and more. Application areas affected by government mandates to improve e-government service include healthcare and safety; law enforcement, security, and justice; education; land use; and many others. DIGITAL GOVERNMENT: E-Government Research, Case Studies, and Implementation provides the field with a definitive, interdisciplinary, and understandable review of recent IT and related research of particular importance to digital government. The book also includes explorations of current and future policy implications, and case studies of successful applications in a variety of government settings.

Terrorism informatics has been defined as the application of advanced methodologies, information fusion and analysis techniques to acquire, integrate process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy and they involve the collection of a mass of information from multiple sources and in numerous languages. TERRORISM INFORMATICS: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art of terrorism informatics domain along three basic dimensions: methodological issues in terrorism research; information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches.

The field of nanotechnology has seen enormous growth since 2000 and is expected to reach $1 trillion worldwide by 2015. Through a systematic and automated knowledge mapping methodology, authors Hsinchun Chen and Mihail Roco in this book collect, analyze and report on the state of the art in nanotechnology research. The description, planning and governance of nanotechnology development require data on knowledge creation and innovation in various areas of application, how these evolve in time and what is the international context. This book aims to selectively provide such information based on the analysis of databases for science and engineering articles (Thompson Citation Index) and patents (US Patent Office in the United States, European Patent Office in Europe and the Japanese Patent Office in Japan). After a survey of the investigative methods, comparative results per countries, technology fields and research organizations are presented for articles and patents in parts of the interval 1976 to 2006.Interesting features on the evolution of major research themes and connections between research awards and patents have been obtained via longitudinal investigation of the published articles and patent data, as well as connection between NSF funding in nanotechnology and patents awarded to their principal investigators.The web-based Nano Mapper System, developed for accessing and visualizing nanotechnology patents, articles and NSF awards, is presented in the final chapter. This ground-breaking volume offers a wealth of information for professors, researchers and students in information technology interested in knowledge mapping methodology and its applications in emerging technology fields; professors, researchers and students in nanotechnology-related fields; executives, managers, analysts and researchers in the nanotechnology industry; and policy makers and analysts in federal governments interested in monitoring the global competitive landscape.

Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance. Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective.Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues. Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense). The book concludes with a discussion of critical issues and challenges, with a look to future directions.This book is an excellent source of current information for researchers in public health and IT. Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.

Intelligence and Security Informatics (ISI) is defined as the study of the development and use of advanced information systems and technologies for national, international, and societal security-related applications. With the rise of global terrorism, the field has been given an increasing amount of attention from academic researchers, law enforcement, intelligent experts, information technology consultants and practitioners.SECURITY INFORMATICS is global in scope and perspective. Leading experts will be invited as contributing authors from the US, UK, Denmark, Israel, Singapore, Hong Kong, Taiwan, Europe, etc. It is the first systematic, archival volume treatment of the field and will cover the very latest advances in ISI research and practice. It is organized in four major subject areas: (1) Information and Systems Security, (2) Information Sharing and Analysis in Security Informatics, (3) Infrastructure Protection and Emergency Responses, and (4) National Security and Terrorism Informatics.

On September 11, 2001 the World became cognizant of the security challenges it faces on an international scale. With this awareness a commitment has come from the scientific, engineering, and health communities to help the world meet an array of security challenges. From these activities the science of "Intelligence and Security Informatics" is emerging, which will influence a new generation of policy makers, practitioners, researchers, and students. INTELLIGENCE AND SECURITY INFORMATICS FOR INTERNATIONAL SECURITY: Information Sharing and Data Mining presents a systematic national security research framework, and discusses IT technical components, and directions. The book reflects a decade of leading-edge research on intelligence and security informatics from the Artificial Intelligence Laboratory and the NSF COPLINK Center for Homeland Security Information Technology Research, as well as the application in real-world community situations by the center’s director and the book’s author, Dr. Hsinchun Chen.

Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field.

New information technologies are being applied swiftly to all levels of government service: local, county, regional and even national and international. Information technology (IT) is being used to improve data management and data sharing, planning and decision support, service delivery, and more. Application areas affected by government mandates to improve e-government service include healthcare and safety; law enforcement, security, and justice; education; land use; and many others. DIGITAL GOVERNMENT: E-Government Research, Case Studies, and Implementation provides the field with a definitive, interdisciplinary, and understandable review of recent IT and related research of particular importance to digital government. The book also includes explorations of current and future policy implications, and case studies of successful applications in a variety of government settings.

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis.

Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now.Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

This book on Infectious Disease Informatics (IDI) and biosurveillance is intended to provide an integrated view of the current state of the art, identify technical and policy challenges and opportunities, and promote cross-disciplinary research that takes advantage of novel methodology and what we have learned from innovative applications. This book also fills a systemic gap in the literature by emphasizing informatics driven perspectives (e.g., information system design, data standards, computational aspects of biosurveillance algorithms, and system evaluation). Finally, this book attempts to reach policy makers and practitioners through the clear and effective communication of recent research findings in the context of case studies in IDI and biosurveillance, providing “hands-on” in-depth opportunities to practitioners to increase their understanding of value, applicability, and limitations of technical solutions. This book collects the state of the art research and modern perspectives of distinguished individuals and research groups on cutting-edge IDI technical and policy research and its application in biosurveillance. The contributed chapters are grouped into three units. Unit I provides an overview of recent biosurveillance research while highlighting the relevant legal and policy structures in the context of IDI and biosurveillance ongoing activities. It also identifies IDI data sources while addressing information collection, sharing, and dissemination issues as well as ethical considerations. Unit II contains survey chapters on the types of surveillance methods used to analyze IDI data in the context of public health and bioterrorism. Specific computational techniques covered include: text mining, time series analysis, multiple data streams methods, ensembles of surveillance methods, spatial analysis and visualization, social network analysis, and agent-based simulation. Unit III examines IT and decision support for public health event responseand bio-defense. Practical lessons learned in developing public health and biosurveillance systems, technology adoption, and syndromic surveillance for large events are discussed. The goal of this book is to provide an understandable interdisciplinary IDI and biosurveillance reference either used as a standalone textbook or reference for students, researchers, and practitioners inpublic health, veterinary medicine, biostatistics, information systems, computer science, and public administration and policy.

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches.  It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.

Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance. Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective.Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues. Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense). The book concludes with a discussion of critical issues and challenges, with a look to future directions.This book is an excellent source of current information for researchers in public health and IT. Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.

Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now.Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

This book on Infectious Disease Informatics (IDI) and biosurveillance is intended to provide an integrated view of the current state of the art, identify technical and policy challenges and opportunities, and promote cross-disciplinary research that takes advantage of novel methodology and what we have learned from innovative applications. This book also fills a systemic gap in the literature by emphasizing informatics driven perspectives (e.g., information system design, data standards, computational aspects of biosurveillance algorithms, and system evaluation). Finally, this book attempts to reach policy makers and practitioners through the clear and effective communication of recent research findings in the context of case studies in IDI and biosurveillance, providing “hands-on” in-depth opportunities to practitioners to increase their understanding of value, applicability, and limitations of technical solutions. This book collects the state of the art research and modern perspectives of distinguished individuals and research groups on cutting-edge IDI technical and policy research and its application in biosurveillance. The contributed chapters are grouped into three units. Unit I provides an overview of recent biosurveillance research while highlighting the relevant legal and policy structures in the context of IDI and biosurveillance ongoing activities. It also identifies IDI data sources while addressing information collection, sharing, and dissemination issues as well as ethical considerations. Unit II contains survey chapters on the types of surveillance methods used to analyze IDI data in the context of public health and bioterrorism. Specific computational techniques covered include: text mining, time series analysis, multiple data streams methods, ensembles of surveillance methods, spatial analysis and visualization, social network analysis, and agent-based simulation. Unit III examines IT and decision support for public health event responseand bio-defense. Practical lessons learned in developing public health and biosurveillance systems, technology adoption, and syndromic surveillance for large events are discussed. The goal of this book is to provide an understandable interdisciplinary IDI and biosurveillance reference either used as a standalone textbook or reference for students, researchers, and practitioners inpublic health, veterinary medicine, biostatistics, information systems, computer science, and public administration and policy.

Introduction The description, planning and governance of nanotechnology development require data on knowledge creation and innovation in various areas of application, how these evolve in time and what is the international context. This book aims to selectively provide such information based on the analysis of databases for science and engineering articles (Thompson Citation Index) and patents (USPTO in the United States, EPO in Europe and JPO in Japan). After a survey of the investigative methods, comparative results per countries, technology fields and research organizations are presented for articles and patents in parts of the interval 1976 to 2006. Interesting features on the evolution of major research themes and connection between research awards and patents have been obtained via longitudinal investigation of the published articles and patent data, as well as connection between NSF funding in nanotechnology and patents awarded to their principal investigators. A web-based system has been developed for accessing and visualizing nanotechnology patents, articles and NSF awards. Scope and Organization The monograph aims to present its chapters in a manner understandable and useful to students, researchers, and nanotechnology professionals. The titles of the eleven chapters are listed below: · Chapter 1. Nanotechnology: An Emerging Field · Chapter 2. Knowledge Mapping: Foundation · Chapter 3. Knowledge Mapping: Analysis Framework · Chapter 4. Mapping Nanotechnology Innovations via USPTO Database: A Longitudinal Study, 1976-2002 · Chapter 5. Federal Funding and Nanotechnology Innovations: NSF Funding and USPTO Patent Analysis, 1991-2002 · Chapter 6.

We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research.

Terrorism informatics has been defined as the application of advanced methodologies, information fusion and analysis techniques to acquire, integrate process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy and they involve the collection of a mass of information from multiple sources and in numerous languages. TERRORISM INFORMATICS: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art of terrorism informatics domain along three basic dimensions: methodological issues in terrorism research; information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches.

This book constitutes the thoroughly refereed post-conference proceedings of the International Conference for Smart Health, ICSH 2018, held in Wuhan, China, in July 2018.The 14 full papers and 21 short papers presented were carefully reviewed and selected from 49 submissions. They focus on studies on the principles, approaches, models, frameworks, new applications, and effects of using novel information technology to address healthcare problems and improve social welfare. The selected papers are organized into the following topics: smart hospital; online health community; mobile health; medical big data and healthcare machine learning; chronic disease management; and health informatics.

This book constitutes the thoroughly refereed conference proceedings of the International Conference for Smart Health, ICSH 2019, held in Shenzhen, China, in July 2019. The 34 full papers and 1 short papers presented were carefully reviewed and selected from 43 submissions.

This book constitutes the refereed proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2014, held in Tainan, Taiwan, in May 2014 in conjunction with PAKDD 2014, the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining. The 7 revised full papers presented together with one short paper were carefully reviewed and selected from 10 submissions. The papers are organized in topical sections on regional data sets and case studies, cybercrime, information security engineering and text mining.

This book constitutes the refereed proceedings of the International Conference for Smart Health, ICSH 2014, held in Beijing, China, in July 2014. The 21 papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on information sharing, integrating and extraction; health data analysis and management; clinical and medical data mining; and clinical practice and medical monitoring.

This book constitutes the refereed proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2015, held in Ho Chi Minh City, Vietnam, in May 2015 in conjunction with PAKDD 2015, the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining.The 8 revised full papers presented were carefully reviewed and selected from numerous submissions. Topics of the workshop are information sharing and big data analytics, infrastructure protection and emergency responses, cybercrime and terrorism informatics and analytics, as well as enterprise risk management, IS security and social media analytics. The papers present a significant view on regional data sets and case studies, including online social media and multimedia, fraud deception and text mining.

The conference focused on topics and issuesincluding medical monitoring and information extraction, clinical and medicaldata mining, health data analysis and management, big data and smart health,and healthcare intelligent systems and clinical practice.

Thisbook constitutes the refereed proceedings of the 11th Pacific Asia Workshop onIntelligence and Security Informatics, PAISI 2016, held in Auckland, NewZealand, in April 2016 in conjunction with PAKDD 2016, the 20th Pacific-AsiaConference on Knowledge Discovery and Data Mining.The7 revised full papers presented together with 7 short papers were carefullyreviewed and selected from 23 submissions. The papers cover network-based dataanalytics, data and text mining, and cyber security and infrastructureprotection.

This book constitutes the refereed proceedings of the 12th Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2017, held in Jeju Island, South Korea, in May 2017 in conjunction with PAKDD 2017, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining.The 8 revised full papers and one short paper were carefully reviewed and selected from 13 submissions. The papers cover topics such as information access and security, cybersecurity and infrastructure protection, data and text mining, and network based data analytics.

This book constitutes the thoroughly refereed post-conference proceedings of the International Conference for Smart Health, ICSH 2017, held in Hong Kong, China,in June 2017.The 18 full papers and 13 short papers presented were carefully reviewed and selectedfrom 38 submissions.