Hujun Yin

Licheng Jiao

Yuping Wang

Yiu-ming Cheung

Jiming Liu

Yue Hao

Jianfeng Ma

Yong-Chang Jiao

The two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on Computational Intelligence and Security, CIS 2005, held in Xi'an, China, in December 2005. The 338 revised papers presented - 254 regular and 84 extended papers - were carefully reviewed and selected from over 1800 submissions. The first volume is organized in topical sections on learning and fuzzy systems, evolutionary computation, intelligent agents and systems, intelligent information retrieval, support vector machines, swarm intelligence, data mining, pattern recognition, and applications. The second volume is subdivided in topical sections on cryptography and coding, cryptographic protocols, intrusion detection, security models and architecture, security management, watermarking and information hiding, web and network applications, image and signal processing, and applications.

International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings

Computational Intelligence and Security

Shang Xia

This book provides a comprehensive introduction to computational epidemiology, highlighting its major methodological paradigms throughout the development of the field while emphasizing the needs for a new paradigm shift in order to most effectively address the increasingly complex real-world challenges in disease control and prevention. Specifically, the book presents the basic concepts, related computational models, and tools that are useful for characterizing disease transmission dynamics with respect to a heterogeneous host population. In addition, it shows how to develop and apply computational methods to tackle the challenges involved in population-level intervention, such as prioritized vaccine allocation. A unique feature of this book is that its examination on the issues of vaccination decision-making is not confined only to the question of how to develop strategic policies on prioritized interventions, as it further approaches the issues from the perspective of individuals, offering a well integrated cost-benefit and social-influence account for voluntary vaccination decisions. One of the most important contributions of this book lies in it offers a blueprint on a novel methodological paradigm in epidemiology, namely, systems epidemiology, with detailed systems modeling principles, as well as practical steps and real-world examples, which can readily be applied in addressing future systems epidemiological challenges. The book is intended to serve as a reference book for researchers and practitioners in the fields of computer science and epidemiology. Together with the provided references on the key concepts, methods, and examples being introduced, the book can also readily be adopted as an introductory text for undergraduate and graduate courses in computational epidemiology as well as systems epidemiology, and as training materials for practitioners and field workers.

From Disease Transmission Modeling to Vaccination Decision Making

Computational Epidemiology

Michelangelo Ceci

George A. Papadopoulos

Nathalie Japkowicz

Zbigniew W. Raś

This book constitutes the proceedings of the 24th International Symposium on Foundations of Intelligent Systems, ISMIS 2018, held in Limassol, Cyprus, in October 2018. The 32 full, 8 short, and 4 application papers presented in this volume were carefully reviewed and selected from 59 submissions. The papers deal with topics such as bioinformatics and health informatics, graph mining, image analysis, intelligent systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science, Special Session on Intelligent Methodologies for Traffic Data Analysis and Mining, and Special Session on Advanced Methods in Machine Learning for Modeling Complex Data.

24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings

Foundations of Intelligent Systems

Bruno Torresani

Ning Zhong

John Daugman

Victor Wickerhauser

Jian Ping Li

John Yen

Yuan Yan Tang

Sankar K Pal

Wavelet analysis and its applications have been one of the fastest-growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, and air acoustics. Active media technology is concerned with the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating, and delegating in a dynamic environment. This book captures the essence of the state of the art in wavelet analysis and its applications and active media technology. At the Congress, invited talks were delivered by distinguished researchers, namely Prof John Daugman of Cambridge University, UK; Prof Bruno Torresani of INRIA, France; Prof Victor Wickerhauser of Washington University, USA, Prof Ning Zhong of the Maebashi Institute of Technology, Japan; Prof John Yen of Pennsylvania State University, USA; and Prof Sankar K Pal of the Indian Statistical Institute, India. Contents: Volume 1: Keynote PresentationsTheoretical ResearchAlgorithm and ConstructionImage Processing and CompressionSignal Processing and CommunicationSystems and Applications Volume 2: Keynote PresentationsTheory and AlgorithmAgent and Multi-Agent SystemActive Computer Systems and InterfacesMulti-Modal Processing, Detection, Recognition and ExpressingPersonalized, Pervasive System and InterfaceSystems and Applications Readership: Graduate students, academics, researchers, and practitioners in the areas of pattern/handwriting recognition, image analysis, computer vision and networking.Keywords:Wavelet Analysis;Image Processing;Signal Processing;Communications;Algorithms and Constructions;Intelligent Agent Technology;Multi-Agent Technology;Multi-Agent Systems;Multi-Modal Processing;Detection

(In 2 Volumes)

Wavelet Analysis and Its Applications, and Active Media Technology

International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part II

Toyoaki Nishida

Jinglong Wu

Yiyu Y. Yao

interaction, complex systems and systems science.

5th International Conference, AMT 2009, Beijing, China, October 22-24, 2009, Proceedings

Active Media Technology

Setsuo Ohsuga

Jeffrey Bradshaw

This volume is an attempt to capture the essence of the state-of-the-art of intelligent agent technology and to identify the new challenges and opportunities that it is or will be facing. The most important feature of the volume is that it emphasizes a multi-faceted, holistic view of this emerging technology, from its computational foundations — in terms of models, methodologies, and tools for developing a variety of embodiments of agent-based systems — to its practical impact on tackling real-world problems.

Intelligent Agent Technology: Research And Development - Proceedings Of The 2nd Asia-pacific Conference On Iat

Yiyu Yao

This book constitutes the refereed proceedings of the First Asia-Pacific Conference on Web Intelligence, WI 2001, held in Maebashi City, Japan, in October 2001.The 28 revised full papers and 45 revised short papers presented were carefully reviewed and selected from 153 full-length paper submissions. Also included are an introductory survey and six invited presentations. The book offers topical sections on Web information systems environments and foundations, Web human-media engineering, Web information management, Web information retrieval, Web agents, Web mining and farming, and Web-based applications.

First Asia-Pacific Conference, WI 2001, Maebashi City, Japan, October 23-26, 2001, Proceedings

Web Intelligence: Research and Development

Tomaso Poggio

Ron Sun

Jimmy Huang

This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2010, held in Toronto, China, in August 2010. The 60 revised full papers presented were carefully reviewed and selected from 222 submissions. The papers are organized in topical sections on cognitive computing; data brain and analysis; neuronal modeling and brain modeling; perception and information processing; learning; cognition-inspired applications; and WICI perspectives on brain informatics.

International Conference, BI 2010, Toronto, Canada, August 28-30, 2010, Proceedings

Brain Informatics

This book constitutes the refereed proceedings of the 5th International Conference on Active Media Technology, AMT 2009, held in Beijing, China, in October 2009. The 47 revised full papers and the 6 keynote talks were carefully reviewed and selected. The papers reflect the shared forum for researchers and practitioniers from diverse fields, such as computer science, information technology, artificial intelligence, media engineering, economics, data mining, data and knowledge engineering, intelligent agent technology, human computer interaction, complex systems and systems science. The book offers new insights into the main research challenges and development of AMT by revealing the interplay between the studies of human informatics and research of informatics on the Web/Internet, mobile and wireless centric intelligent information processing systems.

Vladimir Gorodetsky

Victor A. Skormin

This book constitutes the refereed proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2005, held in St. Petersburg, Russia in June 2005. The 17 revised full papers presented together with 5 invited papers and the abstract of an invited talk were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on agent-based data mining issues, ontologies and Web mining, and applications and case studies.

International Workshop, AIS-ADM 2005

Autonomous Intelligent Systems: Agents and Data Mining

Today we live in an information age: information has become a commodity, and every second thousands of new records are created. This explosion of massive data sets created by businesses, science and governments necessitates intelligent and more powerful computing paradigms so that users can benefit from this data. This information needs to be summarized and synthesized to support effective problem solving and decision making. The papers in this book assume an interdisciplinary approach based on three major methodologies: first, hybridization, i.e., combining methods in order to harness their strengths and avoid their shortcomings; second, multiphase processing, i.e., the step-wise preparation, evaluation and refinement of data; and, third, multi-agent and distributed processing, i.e., using intelligent agents as well as Web or grid architectures. The final vision of the authors is an intelligent information technology, encompassing theories and applications from, for example, artificial intelligence, data mining, grid computing, and statistical learning. This monograph presents the current state of research and development in both theoretical and application aspects of intelligent information analysis. It is a source of reference and includes numerous examples for researchers, graduate students and advanced professionals working in areas such as electronic commerce, business intelligence, and knowledge grids.

Intelligent Technologies for Information Analysis

This excellently written monograph provides – for the first time ever - a thorough introduction and systematic overview of all aspects of intelligent data processing on the Web. It presents both the current state of research as well as application aspects. All major topics related to Web Intelligence which can have impact on future directions and developments are presented in detail. This book will be a valuable source of reference for years to all research and development professionals interested in Web Intelligence. Students will also appreciate the numerous illustrations and examples.

Web Intelligence

Seeking to capture the essence of the current state of research in active media technology, this volume identifies the changes and opportunities - both current and future - in the field. The papers are taken from the Second International Conference on Active Media Technology, held in China in 2003. Researchers such as Professor Ning Zhong from the Maebashi Institute of Technology, Professor John Yen from the Pennsylvania State University, and Professor Sanker K. Pal from the Indian Statistical Institute present their research papers.

Toru Ishida

Pong C. Yuen

Chung-hung Li

Joseph Ng

The past few years have witnessed rapid scienti?c and technological devel- ments in human-centered, seamless computing environments, interfaces, de- ces, and systems with applications ranging from business and communication to entertainment and learning. These developments are collectively best charac- rized as Active Media Technology (AMT), a new area of information technology and computer science that emphasizes the proactive, seamless roles of interfaces and systems as well as new digital media in all aspects of human life. This - lume contains the papers presented at the Sixth International Computer Science Conference: Active Media Technology (AMT 2001), the ?rst conference of its kind, capturing the state of research and development in AMT and the latest architectures, prototypes, tools, and ?elded systems that demonstrate or enable AMT. The volume is organized into the following eight parts: I. Smart Digital - dia; II. Web Personalization; III. Active Interfaces; IV. Autonomous Agent - proaches; V. Facial Image Processing; VI. AMT-Supported Commerce, Business, Learning, and Health Care; VII. Tools and Techniques; and VIII. Algorithms.

6th International Computer Science Conference, AMT 2001, Hong Kong, China, December 18-20, 2001. Proceedings

International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part I

Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.

XiaoLong Jin

Kwok Ching Tsui

Autonomy Oriented Computing is a comprehensive reference for scientists, engineers, and other professionals concerned with this promising development in computer science. It can also be used as a text in graduate/undergraduate programs in a broad range of computer-related disciplines, including Robotics and Automation, Amorphous Computing, Image Processing, Programming Paradigms, Computational Biology, etc. Part One describes the basic concepts and characteristics of an AOC system and enumerates the critical design and engineering issues faced in AOC system development. Part Two gives detailed analyses of methodologies and case studies to evaluate AOC used in problem solving and complex system modeling. The final chapter outlines possibilities for future research and development. Numerous illustrative examples, experimental case studies, and exercises at the end of each chapter of Autonomy Oriented Computing help particularize and consolidate the methodologies and theories presented.

From Problem Solving to Complex Systems Modeling

Autonomy Oriented Computing

Yiuming Cheung

This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

4th International Conference, IDEAL 2003 Hong Kong, China, March 21–23, 2003 Revised Papers

Intelligent Data Engineering and Automated Learning

Shengfu Lu

Kuncheng Li

This book constitutes the thoroughly refereed post-workshop proceedings of the First WICI International Workshop on Web Intelligence meets Brain Informatics, WImBI 2006, which was held in Beijing, China, in December 2006. The workshop explores a new perspective of Web Intelligence (WI) research from the viewpoint of Brain Informatics (BI). The 26 revised full-length papers presented together with three introductory lectures have been carefully reviewed and selected.

Jiming Liu

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