Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: Provides a complete discussion of both the hardware and software used to organize big data Describes a wide range of useful applications for managing big data and resultant data sets Maintains a firm focus on massive data and large networks Unveils innovative techniques to help readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT - The Health and Life Sciences University, Austria, and the Universitat der Bundeswehr Munchen. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory. Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine. Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universitat Munchen. His research interests are in operations research, systems biology, graph theory and discrete optimization. Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: Provides a complete discussion of both the hardware and software used to organize big data Describes a wide range of useful applications for managing big data and resultant data sets Maintains a firm focus on massive data and large networks Unveils innovative techniques to help readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT - The Health and Life Sciences University, Austria, and the Universitat der Bundeswehr Munchen. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory. Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine. Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universitat Munchen. His research interests are in operations research, systems biology, graph theory and discrete optimization. Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.

The Human-Computer Interaction & Usability Engineering Workgroup (Ar- .. beitskreis HCI&UE) of the Austrian Computer Society (Osterreichische C- puter Gesellschaft, OCG) has been serving as an international platform for interdisciplinaryexchange,researchanddevelopmentsinceFebruary2005. While human-computer interaction (HCI) traditionally brings psychologists and c- puter scientists together, the inclusion of usability engineering (UE), a software engineering discipline ensuring the appropriate implementation of applications, has become indispensable. Because of the fast developments in information and communication technologies (ICT), the ?elds of application of HCI and UE are broader than ever. Therefore, USAB 2010 had, in comparison to past USAB conferences, quite a broad focus on all potential aspects of HCI in work - vironments, learning, private life and leisure activities. Each of these areas of application includes various challenges for HCI and UE, which go far beyond the classical desktop interface as well as usability norms and de?nitions pos- lated in the late twentieth century. The contributions for USAB 2010 provide important insights on the actual researchactivities in the ?eld and support the interested audience by presenting the state of the art in HCI researchas well as giving valuable input on questions arising when planning or designing research projects. Because of the increasing propagation of the ?eld of HCI research, it is not possible to address all areas within a smallconference;however,this is not the goalofUSAB 2010-itshould be seen as a metaphorical counterpart of a wholesale, an HCI delicatessen shop providinga tasting menuwith di?erent courses(hopefully) cateringto alltastes.

This post-conference book constitutes selected papers of the Fifth International Conference on Computer-Human Interaction Research and Applications, CHIRA 2021, held virtually due to COVID 19, and Sixth International Conference on Computer-Human Interaction Research and Applications, CHIRA 2022, held in Valletta, Malta, in October 2022. The 8 full papers presented in this book were carefully reviewed and selected from 48 submissions for CHIRA 2021 and 37 submissions for CHIRA 2022. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on computer-human interaction, including user-centered interaction design patterns, user experience design, multimedia and multimodal Interaction, interaction design modelling, haptic and tangible devices, accessible and adaptive interaction, user behaviour analysis, user experience evaluation, modelling human factors, mobile computer-human interaction, machine learning, information retrieval, human-centered AI and design and evaluation.

Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ''fit-for-purpose'' samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.

Providing a comprehensive introduction into an overview of the field of pervasive healthcare applications, this volume incorporates a variety of timely topics ranging from medical sensors and hardware infrastructures, to software platforms and applications and addresses issues of user experience and technology acceptance. The recent developments in the area of information and communication technologies have laid the groundwork for new patient-centred healthcare solutions. While the majority of computer-supported healthcare tools designed in the last decades focused mainly on supporting care-givers and medical personnel, this trend changed with the introduction of pervasive healthcare technologies, which provide supportive and adaptive services for a broad variety and diverse set of end users. With contributions from key researchers the book integrates the various aspects of pervasive healthcare systems including application design, hardware development, system implementation, hardware and software infrastructures as well as end-user aspects providing an excellent overview of this important and evolving field.

This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Data Technologies and Applications, DATA 2015, held in Colmar, France, in July 2015. The 9 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: databases, data warehousing, data mining, data management, data security, knowledge and information systems and technologies; advanced application of data.

This book constitutes the thoroughly refereed proceedings of the International Conference on Communication Technologies for Ageing Well and e-Health, ICT4AgeingWell 2015, held in Lisbon, Portugal, in May 2015. The 11 full papers and two invited papers presented were carefully reviewed and selected from 45 submissions. The papers cover five main topic areas, covering different aspects, including Ambient Assisted Living, Telemedicine and E-Health, Monitoring, Accessibility and User Interfaces, Robotics and Devices for Independent Living and HCI for Ageing Populations.

This book constitutes the refereed proceedings of the 11th International Joint Conference on E-Business and Telecommunications, ICETE 2014, held in Vienna, Austria, in August 2014. ICETE is a joint international conference integrating four major areas of knowledge that are divided into six corresponding conferences: International Conference on Data Communication Networking, DCNET; International Conference on E-Business, ICE-B; International Conference on Optical Communication Systems, OPTICS; International Conference on Security and Cryptography, SECRYPT; International Conference on Wireless Information Systems, WINSYS; and International Conference on Signal Processing and Multimedia, SIGMAP. The 27 full papers presented were carefully reviewed and selected from 328 submissions. The papers cover the following key areas of e-business and telecommunications: data communication networking; e-business; optical communication systems; security and cryptography; signal processing and multimedia applications; wireless information networks and systems.

This book constitutes the thoroughly refereed proceedings of the Third International Conference on Data Technologies and Applications, DATA 2014, held in Vienna, Austria, in August 2014. The 12 revised full papers were carefully reviewed and selected from 87 submissions. The papers deal with the following topics: databases, data warehousing, data mining, data management, data security, knowledge and information systems and technologies; advanced application of data.

This book constitutes the proceedings of the First International Conference on Physiological Computing Systems, PhyCS 2014, held in Lisbon, Portugal, in January 2014. The 10 papers presented in this volume were carefully reviewed and selected from 52 submissions. They are organized in topical sections named: methodologies and methods; devices; applications; and human factors.

This book provides a broad overview of the topic Bioinformatics with focus on data, information and knowledge. From data acquisition and storage to visualization, ranging through privacy, regulatory and other practical and theoretical topics, the author touches several fundamental aspects of the innovative interface between Medical and Technology domains that is Biomedical Informatics. Each chapter starts by providing a useful inventory of definitions and commonly used acronyms for each topic and throughout the text, the reader finds several real-world examples, methodologies and ideas that complement the technical and theoretical background. This new edition includes new sections at the end of each chapter, called "future outlook and research avenues," providing pointers to future challenges. At the beginning of each chapter a new section called "key problems", has been added, where the author discusses possible traps and unsolvable or major problems.

Providing a comprehensive introduction into an overview of the field of pervasive healthcare applications, this volume incorporates a variety of timely topics ranging from medical sensors and hardware infrastructures, to software platforms and applications and addresses issues of user experience and technology acceptance. The recent developments in the area of information and communication technologies have laid the groundwork for new patient-centred healthcare solutions. While the majority of computer-supported healthcare tools designed in the last decades focused mainly on supporting care-givers and medical personnel, this trend changed with the introduction of pervasive healthcare technologies, which provide supportive and adaptive services for a broad variety and diverse set of end users. With contributions from key researchers the book integrates the various aspects of pervasive healthcare systems including application design, hardware development, system implementation, hardware and software infrastructures as well as end-user aspects providing an excellent overview of this important and evolving field.

This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery, HCI-KDD 2013, held in Maribor, Slovenia, in July 2013, at SouthCHI 2013. The 20 revised papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.

This book constitutes the refereed proceedings of the First International Conference on Human Factors in Computing and Informatics, SouthCHI 2013, held in Maribor, Slovenia, in July 2013. SouthCHI is the successor of the USAB Conference series and promotes all aspects of human-computer interaction. The 38 revised full papers presented together with 12 short papers, 4 posters and 3 doctoral thesis papers were carefully reviewed and selected from 169 submissions. The papers are organized in the following topical sections: measurement and usability evaluation; usability evaluation - medical environments; accessibility methodologies; game-based methodologies; Web-based systems and attribution research; virtual environments; design culture for ageing well: designing for "situated elderliness"; input devices; adaptive systems and intelligent agents; and assessing the state of HCI research and practice in South-Eastern Europe.

Medical Informatics is defined as the interdisciplinary field that studies and pursues the effective use of biomedical data, information and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health. To emphasize the broad character it is called Biomedical Informatics. The aim of this course is to provide a student with a broad overview with focus on data, information and knowledge. The course consists of the following 12 lectures: 1. Introduction: Computer Science meets Life Sciences, challenges and future directions; 2. Back to the future: Fundamentals of Data, Information and Knowledge; 3. Structured Data: Coding, Classification (ICD, SNOMED, MeSH, UMLS); 4. Biomedical Databases: Acquisition, Storage, Information Retrieval and Use; 5. Semi structured and weakly structured data (structural homologies); 6. Multimedia Data Mining and Knowledge Discovery; 7. Knowledge and Decision: Cognitive Science and Human-Computer Interaction; 8. Biomedical Decision Making: Reasoning and Decision Support; 9. Intelligent Information Visualization and Visual Analytics; 10. Biomedical Information Systems and Medical Knowledge Management; 11. Biomedical Data: Privacy, Safety and Security 12. Methodology for Information Systems: System Design, Usability and Evaluation

This book constitutes the refereed proceedings of the 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, in Graz, Austria, in November 2011.
The 18 revised full papers together with 29 revised short papers and 2 posters presented were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on cognitive approaches to clinical data management for decision support, human-computer interaction and knowledge discovery in databases (hci-kdd), information usability and clinical workflows, education and patient empowerment, patient empowerment and health services, information visualization, knowledge & analytics, information usability and accessibility, governmental health services & clinical routine, information retrieval and knowledge discovery, decision making support & technology acceptance, information retrieval, privacy & clinical routine, usability and accessibility methodologies, information usability and knowledge discovery, human-centred computing, and biomedical informatics in health professional education.

Establishment, development and management of a successful research and development group require systematic knowledge and skills and a target-oriented process model. It begins with a vision and requires a clear mission and accordant strategy in order to achieve these goals. The people involved in the team work are of primary importance; everything depends on the interaction of this team. To create this team, to develop, scaffold, advance and lead is a challenge. However, even the best team is ineffective if there is no funding. Money is not everything but without money everything is nothing. A substantial budget is required to cover staff costs, premises and basic equipment, travel, computers and basic software, a scientific software portfolio, hosting, special equipment, literature, workshop organization, visiting researcher invitations, etc. In an environment of decreasing public budgets, external funding becomes increasingly important in order to sustain international competitiveness, quality and to maintaining excellence. Ultimately, the team is assessed by output, which is composed of measurable, published "items.""If you ask what real knowledge is, I answer, that which enables action (Hermann von Helmholtz)."KeywordsManagement, Science, Research, Team, Work group

The process of doing an academic work, whether a mini-project, diploma thesis, master's thesis or PhD thesis, requires systematic knowledge and skills in order to answer the following questions: "How do I find a topic?," "How do I obtain funding money?," "How do I write a project proposal?," "How is the organisatoric workflow?," "How do I search Literature systematically?," "Why should I read patents?," "How can I organize my references?," "Why English as a working language?," "What is the formal structure of a thesis like?," What is the classical hypothetic-deductive research process?," Which research methods could I use?," "How will my posters, my presentations and my written work be graded?," "How do I contribute to a conference?," "How do I contribute to an archival Journal?." These questions are discussed on the basis of the subjects Engineering (Computer Science/Informatics) and Natural Sciences (Psychology) and Business (Software Engineering/Business), which can be bridged by the subject "Human-Computer Interaction and Usability Engineering (HCI&UE). Since science is trans-cultural, inter-subjective and reproductive; these fundamentals can be further applied to almost any subject.Die Durchfuhrung einer akademischen Arbeit, ob Mini-Projekt, Diplomarbeit, Masterarbeit oder Doktorarbeit erfordert systematische Kenntnisse und Fertigkeiten um folgende Fragen zu beantworten: Wie finde ich ein Thema?," Wie komme ich zu Forderungen?," Wie verfasse ich einen Projektantrag?," Wie lauft eine Arbeit organisatorisch ab?," Wie fuhre ich eine systematische Literatursuche durch?," Warum sollte ich Patente lesen?," Wie kann ich meine Literatur verwalten?," Warum Englisch als Arbeitssprache?," Wie ist der formale Aufbau einer Arbeit?," Wie lauft der klassische Forschungsprozess ab?," Welche Forschungsmethoden gibt es?," Wie werden meine Poster, Vortrage und schriftlichen Arbeiten beurteilt?," Wie verfasse ich einen Konferenzbeitrag?," Wie verfasse ich einen Be

This book constitutes the refereed proceedings of HCI and Usability for e-Inclusion, held as the 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2009, in Linz, Austria, in November 2009.

The 12 revised full papers and 26 revised short papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on gender and cognitive performance, usefulness, usability, accessibility, emotion, confidence and elderly, usability testing, evaluation, measurement, education, learning and e-inclusion, design for adaptive content processing, grounded theory, activity theory and situated action, smart home, health and ambient assistent living, user centred design and usability practice, interaction, assistive technologies and virtual environments, communication, interfaces and haptic technology as well as new technologies and challenges for people with disabilities.

The Workgroup Human-Computer Interaction & Usability Engineering (HCI&UE) of the Austrian Computer Society (OCG) serves as a platform for interdisciplinary - change, research and development. While human-computer interaction (HCI) tra- tionally brings together psychologists and computer scientists, usability engineering (UE) is a software engineering discipline and ensures the appropriate implementation of applications. Our 2008 topic was Human-Computer Interaction for Education and Work (HCI4EDU), culminating in the 4th annual Usability Symposium USAB 2008 held during November 20-21, 2008 in Graz, Austria (http: //usab-symposium.tugraz.at). As with the field of Human-Computer Interaction in Medicine and Health Care (HCI4MED), which was our annual topic in 2007, technological performance also increases exponentially in the area of education and work. Learners, teachers and knowledge workers are ubiquitously confronted with new technologies, which are available at constantly lower costs. However, it is obvious that within our e-Society the knowledge acquired at schools and universities - while being an absolutely necessary basis for learning - may prove insufficient to last a whole life time. Working and learning can be viewed as parallel processes, with the result that li- long learning (LLL) must be considered as more than just a catch phrase within our society, it is an undisputed necessity. Today, we are facing a tremendous increase in educational technologies of all kinds and, although the influence of these new te- nologies is enormous, we must never forget that learning is both a basic cognitive and a social process - and cannot be replaced by technology.

This book constitutes the refereed proceedings of the Third Usability Symposium of the Human-Computer Interaction and Usability Engineering Workgroup of the Austrian Computer Society, USAB 2007, held in Graz, Austria, in November 2007. The 21 revised full papers and 18 revised short papers presented together with one poster paper and one tutorial were carefully reviewed and selected from 97 submissions during two rounds of reviewing and improvement.

This book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022.The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023.  The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

This book constitutes selected papers of the Fourth International Conference on Computer-Human Interaction Research and Applications, CHIRA 2020, held virtually, in November 2020. The 8 full papers presented in this book were carefully reviewed and selected from 44 submissions. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on computer-human interaction, including Interaction design, human factors, entertainment, cognition, perception, user-friendly software and systems, pervasive technologies and interactive devices.