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Semantic Multimedia and Ontologies : Theory and Applications
Taking a step-by-step approach, and drawing on the expertise of key researchers in the multimedia and knowledge domains, this book guides the reader through the fundamental enabling technologies of ontologies (for example MPEG-7 and OWL), analysis, context and reasoning, to commercially interesting applications including personalised content summarisation, 3D modelling and management of scientific data. All relevant topics are covered; including ontologies for low level multimedia feature representation, higher level multimedia systems representations, application of multimedia ontologies for visual analysis, and usage of multimedia and knowledge technologies for applications. The authors aggregate relevant disciplines including knowledge representation, multidimensional signal processing, logic, artificial intelligence and machine learning to provide a coherent picture of the different strands of research that need to be combined in order to achieve semantic multimedia applications.
Semantic Multimedia ; 3rd International Conference on Semantic and Digital Media Technologies, SAMT 2008, Koblenz, Germany, December 3-5, 2008. Proceedings
The book cover topics such as semantic analysis and multimedia, semantic retrieval and multimedia, semantic metadata management of multimedia, semantic user interfaces for multimedia, semantics in visualization and computer graphics, as well as applications of semantic multimedia.
Selected Papers of Frederick Mosteller
This volume of selected papers is A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings.
Security and trust management : 16th International Workshop, STM 2020, Guildford, UK, September 17–18, 2020, Proceedings
This book constitutes the proceedings of the 16th International Workshop on Security and Trust Management, STM 2020, co-located with the 25th European Symposium on Research in Computer Security, ESORICS 2020. The conference was planned to take place in Guildford, UK, but had to be moved to an online format due to the COVID-19 pandemic. The workshop took place during September 17-18, 2020. The 8 papers presented in this volume were carefully reviewed and selected from 20 submissions. They were organized in topical sections on security properties and attacks; confidentiality schema and security processes.
Security and privacy in social networks and big data ; 6th International symposium, SocialSec 2020, Tianjin, China, September 26–27, 2020, Proceedings
This book constitutes revised and selected papers from the 6th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2020, held in Tianjin, China, in September 2020. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 111 submissions. The papers are organized according to the topical sections on big data security; social networks; privacy-preserving and security.
Security and privacy for modern wireless communication systems
Focuses on the latest protocol research, software/hardware development and implementation, and system architecture design in addressing emerging security and privacy issues for modern wireless communication networks. Relevant topics include, but are not limited to, the following: deep-learning-based security and privacy design; covert communications; information-theoretical foundations for advanced security and privacy techniques; lightweight cryptography for power-constrained networks; physical layer key generation; prototypes and testbeds for security and privacy solutions; encryption and decryption algorithm for low-latency constrained networks; security protocols for modern wireless communication networks; network intrusion detection; physical layer design with security consideration; anonymity in data transmission; vulnerabilities in security and privacy in modern wireless communication networks.
Security And Privacy For Big Data, Cloud Computing And Applications
Examines various topics and approaches related to the security and privacy in big data and cloud computing, where authors share their expertise in their respective chapters on a broad range of security and privacy challenges and state of the art solutions. As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and data becomes more critical with emerging security and privacy threats and challenges. This book presents a comprehensive view on how to advance security and privacy in big data, cloud computing, and their applications. Topics include cryptographic tools, SDN security, big data security in IoT, privacy preserving in big data, security architecture based on cyber kill chain, privacy-aware digital forensics, trustworthy computing, privacy verification based on machine learning, and chaos-based communication systems. This book is an essential reading for networking, computing, and communications professionals, researchers, students and engineers, working with big data and cloud computing.
Secure Data Science : Integrating Cyber Security and Data Science
Data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science.
Secondary Analysis of Electronic Health Records
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence.
Scalable Optimization via Probabilistic Modeling : From Algorithms to Applications
The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited.
Scalable data management for future hardware
Presents the results of the DFG priority program on scalable data management for future hardware. It details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management.the nine chapters of the book present a wide range of data management architectures in conjunction with current hardware developments, often related to applications in data analytics or machine learning. they cover topics such as hardware-accelerated query or event processing on FPGA, GPU, and multicore CPUs, scalable data management in data center networks or on modern memory and storage technologies, and operating system support.
Safety in the digital age: Sociotechnical perspectives on algorithms and machine learning
Gathers authors from a wide range of social-scientific and engineering disciplines to review challenges from their respective fields that arise from the processes of social and technological transformation taking place worldwide. The result is a much-needed collection of knowledge about the integration of social, organizational and technical challenges that need to be tackled to uphold safety in the digital age. The contributors whose work features in this book help their readers to navigate the massive increase in the capability to generate and use data in developing algorithms intended for automation of work, machine learning and next-generation artificial intelligence and the blockchain technology already in such extensive use in real-world organizations.
Rule-Based Evolutionary Online Learning Systems : A Principled Approach to LCS Analysis and Design
This book offers a comprehensive introduction to learning classifier systems (LCS) – or more generally, rule-based evolutionary online learning systems. LCSs learn interactively – much like a neural network – but with an increased adaptivity and flexibility.
Rule Extraction from Support Vector Machines
This book provides an overview of the field and introduces a number of different approaches to extracting rules from support vector machines developed by key researchers. In addition, successful applications are outlined and future research opportunities are discussed. The book is an important reference for researchers and graduate students, and since it provides an introduction to the topic, it will be important in the classroom as well. Because of the significance of both SVMs and user explanation, the book is of relevance to data mining practitioners and data analysts.
Rough sets, fuzzy sets, data mining, and granular computing ; Vol. 3642 ; 10th International conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II
The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signifcant results in many areas such as , industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications.
Rough sets, fuzzy sets, data mining, and granular computing ; Vol. 3641 ; 10th International conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I
The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signifcant results in many areas such as industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications.
Rough Sets and Knowledge Technology ; 3rd International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings
This book focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology.
Rough Sets and Knowledge Technology ; 1st International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006, Proceedings
This volume contains the papers selected for presentation at the First Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2006) organized in Chongqing, P. R. China, 2003. 101 papers were accepted by RSKT 2006 and are included in this volume.
Rough sets and intelligent systems paradigms ; International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings
This book constitutes the refereed proceedings of the International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, held in Warsaw, Poland in June 2007. Seventy-three full papers are presented, together with two keynote lectures and eleven invited papers.
Rough Sets and Current Trends in Computing ; 5th International Conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006, Proceedings
This book constitutes the refereed proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006, held in Kobe, Japan in November 2006. The 91 revised full papers presented together with five invited papers and two commemorative papers were carefully reviewed and selected from 332 submissions.
