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  • MPI Ethno. Forsch.  (15)
  • Regensburg UB  (1)
  • English  (16)
  • Tsihrintzis, George A.  (9)
  • Maggino, Filomena  (7)
  • Cham : Springer International Publishing  (16)
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  • English  (16)
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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031172991
    Language: English
    Pages: 1 Online-Ressource(739 illus., 451 illus. in color. eReference.)
    Edition: 2nd ed. 2023.
    Parallel Title: Erscheint auch als
    Keywords: Positive psychology. ; Quality of life. ; Economics.
    Abstract: “Community Accounts”: Newfoundland and Labrador, Canada -- Aboriginal Community Well-Being Index -- Aboriginal Peoples Survey, Canada (APS) -- Accessibility -- Acquiescence Response Set -- Action Research -- Active Ageing and Personal Wellbeing Among Older Adults in Spain -- Active Citizenship -- Active Coping -- Activities of Daily Living (ADL) -- Activities of Daily Vision Scale -- Activity Assessment -- Acute Myocardial Infarction -- Adaptation-Level Theory -- Addiction Severity Index -- Addiction: An Overview -- Adolescent Health-Risk and Problem Behavior -- Adolescent Life Satisfaction Measurement -- Adolescent Substance Use -- Adolescents and Spirituality.
    Abstract: This 2nd edition is a definitive resource on issues pertaining to the full range of topics in scientific and other scholarly research on the quality of life, including health-related quality of life research or also called patient-reported outcomes research. Altogether 500 new and updated entries appear in this new edition. This single, multidimensional reference work connects the most salient and important contributions to the relevant fields from the behavioral and social sciences as well as health and healthcare. New topics in this 2nd edition are on disabilities, religion/spirituality, sex, sports, politics, government, science, literature, performance and visual arts, environmental quality and sustainable development. The 2nd edition of the Encyclopedia of Quality of Life and Well-being Research is an indispensable reference point for future research and writing topics on quality of life.
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  • 2
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031205859
    Language: English
    Pages: 1 Online-Ressource(XIII, 372 p. 214 illus., 191 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 4
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering.
    Abstract: Introduction -- e-Government: The concept, the environment & critical issues for the Back-Office systems -- Semantic Web: The evolution of the Web & the opportunities for the e-Government -- Representation and knowledge management for the benefit of e-Government - Opportunities through the tools of the Semantic Web -- Towards Open Data and Open Governance – Representation of knowledge and Triplification of data in the field of the Greek Open Government Data -- Production and publication of linked open data: The case of open ontologies -- Education and E-Government - The case of a Moodle based platform for the education and evaluation of civil servants -- Conclusions – Future Work.
    Abstract: Evolving technological advances in Artificial Intelligence-empowered Software present significant potential to lead e-Government towards more collective efforts, exchange of experiences on best practices both at national and international levels and dissemination of secluded administrative knowledge. In this book, novel semantic web-based and linked open data-based approaches are developed for the modelling and management of the huge volume of administrative data and the procedures followed by public sector bodies and for the production and management of relevant administrative knowledge. The book consists of eight chapters, each of which includes relevant bibliographic references for deeper probing. Appendices complement this work with sections of configuration files of the applications developed and used. Professors, researchers, scientists, engineers and students in artificial intelligence, e-government and other computer science-related disciplines are expected to benefit greatly from it, along with non-specialist readers from other disciplines who are interested in getting versed in the recent developments in e-government.
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  • 3
    ISBN: 9783031054914
    Language: English
    Pages: 1 Online-Ressource(XVIII, 398 p. 150 illus., 107 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 314
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Big data. ; Engineering mathematics. ; Engineering
    Abstract: Reversible Data Hiding in Encrypted Image Based on MSB Inversion -- Comments on the Visual Binary QR Code -- NLP-based Hardware Solution for Censoring Audio on Over-the-top (OTT) Media Services -- Efficient Steganographic Method Based on Modulo Cube -- Reversible Data Hiding Based on Bidirectional Generalized Integer Transform -- An RFID Ownership Transfer based on Multiple Owners with Different Weights -- Fuzzy C-Means based Feature Selection Mechanism for Wireless Intrusion Detection -- Real Time Drowsiness Detection Based on Facial Dynamic Features -- Collision Avoidance in Crowded Zone using Adversarial Reinforcement Learning -- Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based on Blockchain Technology.
    Abstract: This book aims to attract researchers and practitioners who are working in information technology and computer science. This edited book is about basics and high-level concepts regarding blockchain technology and application, multimedia security, information processing, security of network, cloud and IoT, cryptography and information hiding, cyber-security and evidence investigations, and learning and intelligent computing. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure, and privacy-aware mechanisms in high-performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security-related areas. We believe that this book not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
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  • 4
    ISBN: 9783031223716
    Language: English
    Pages: 1 Online-Ressource(XII, 193 p. 78 illus., 59 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 236
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Data protection.
    Abstract: Editorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. .
    Abstract: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
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  • 5
    ISBN: 9783031082023
    Language: English
    Pages: 1 Online-Ressource(XII, 329 p. 242 illus., 102 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 2
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering.
    Abstract: Introduction to Handbook on Artificial Intelligence-empowered Applied Software Engineering - VOL.1: Novel Methodologies to Engineering Smart Software Systems -- Part I: Survey of Recent Relevant Literature -- Synergies Between Artificial Intelligence and Software Engineering: Evolution and Trends -- Part II: Artificial Intelligence-Assisted Software Development -- Towards Software Co-Engineering by AI and Developers -- Generalizing Software Defect Estimation using Size and Two Interaction Variables -- Building of an Application Reviews Classifier by BERT and Its Evaluation -- Harmony Search-enhanced Software Architecture Reconstruction -- Enterprise Architecture-based Project Model for AI Service System Development -- Part III: Software Engineering Tools to develop Artificial Intelligence Applications -- Requirements Engineering Processes for Multi-Agent Systems -- Specific UML-Derived Languages for Modeling Multi-Agent Systems -- Methods for ensuring the overall safety of machine learning systems -- MEAU: A Method for the Evaluation of the Artificial Unintelligence -- Quantum Computing meets Artificial Intelligence: Innovations & Challenges. .
    Abstract: This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
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  • 6
    ISBN: 9783030767945
    Language: English
    Pages: 1 Online-Ressource(XVI, 224 p. 85 illus., 70 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 23
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Machine learning.
    Abstract: Part I: Machine Learning/Deep Learning in Socializing and Entertainment -- Part II: Machine Learning/Deep Learning in -- Part III: Machine Learning/Deep Learning in Security -- Part IV: Machine Learning/Deep Learning in Time Series Forecasting -- Part V: Machine Learning in Video Coding and Information Extraction.
    Abstract: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
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  • 7
    ISBN: 9783030930523
    Language: English
    Pages: 1 Online-Ressource(XVII, 356 p. 159 illus., 120 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 24
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 2: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 3: Application of Rough Set-Based Characterisation of Attributes in Feature Selection and Reduction.
    Abstract: As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the market availability and that this shortage will intensify further in the years to come. A potential solution includes attracting more women into the field, as women currently make up only 26 percent of Artificial Intelligence positions in the workforce. The present book serves a dual purpose: On one hand, it sheds light on the very significant research led by women in areas of Artificial Intelligence, in hopes of inspiring other women to follow studies in the area and get involved in related research. On the other hand, it highlights the state-of-the-art and current research in selected Artificial Intelligence areas and applications. The book consists of an editorial note and an additional thirteen (13) chapters, all authored by invited women-researchers who work on various Artificial Intelligence areas and stand out for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Paradigms, (ii) Advances in Artificial Intelligence Applications, and (iii) Recent Trends in Artificial Intelligence Areas and Applications. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the Artificial Intelligence areas of interest to them.
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  • 8
    ISBN: 9783030805715
    Language: English
    Pages: 1 Online-Ressource(XII, 237 p. 80 illus., 53 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 22
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Advances in Artificial Intelligence Tools and Methodologies -- Chapter 2: Advances in Artificial Intelligence-based Applications and Services -- Chapter 3: Theoretical Advances in Computation and System Modeling.
    Abstract: With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
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  • 9
    ISBN: 9783030871321
    Language: English
    Pages: 1 Online-Ressource(XVI, 309 p. 103 illus., 73 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 28
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction To Advances In Assistive Technologies -- Chapter 2: Applications of AI in Healthcare and Assistive Technologies -- Chapter 3: Machine Learning and Finite Element Methods in Modeling of COVID-19 spread -- Chapter 4: Learning Paradigms for Neural Networks for Automated Medical Diagnosis -- Chapter 5: Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks. .
    Abstract: This book aims at exposing its readers to some of the most significant advances in assistive technologies. Assistive technologies develop devices to assist vulnerable people, including elderly people, people with cognitive disabilities such as memory problems or dementia, and people with functional disabilities such as those needing support in toileting, moving around, eating, bathing, dressing, grooming, and taking personal care. The ever-increasing life expectancy and world population, along with the emergence of new diseases and the regrettable continuation of armed conflicts, press for development and availability of assistive technologies that offer people in need the opportunity to live secure and controlled lives with more active participation in society and at a reduced assistive cost. This task can be accomplished only with more advanced devices than traditional-powered wheelchairs or eating/drinking devices, including prosthetics, exoskeletons, visual and hearing aids, cognitive aids, and devices enhanced with artificial intelligence. The book consists of an editorial note and an additional twelve (12) chapters, all of which have been written by authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into four parts, namely (i) Advances in Assistive Technologies in Healthcare, (ii) Advances in Assistive Technologies in Medical Diagnosis, (iii) Advances in Assistive Technologies in Mobility and Navigation, and (iv) Advances in Privacy and Explainability in Assistive Technologies. This research book is directed towards professors, researchers, scientists, engineers, and students in assistive technologies. It is also directed towards readers who come from other disciplines and is interested in becoming versed in some of the most recent assistive technologies. An extensive list of bibliographic references at the end of each chapter guides its readers to probe further into the application areas of interest to them.
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  • 10
    ISBN: 9783031076503
    Language: English
    Pages: 1 Online-Ressource(XII, 197 p. 94 illus., 73 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 3
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering. ; Cooperating objects (Computer systems).
    Abstract: Editorial Note -- Part I: Smart Software Applications in Scientific Document Processing -- Detection, Extraction and SPN Representation of Pseudo-Algorithms in Scientific Documents -- A Recommender Engine for Scientific Paper Peer-Reviewing System -- Part II: Smart Software Applications in Enteprise Modeling -- Visualization of Digital-Enhanced Enterprise Modeling -- Know-linking: When Aachine Learning Meets Organizational Tools Analysis to Generate Shared Knowledge in Large Companies -- Changes in Human Resources Management with Artificial Intelligence -- Part III: Smart Software Applications in Education -- Promoting Reading Among Teens: Analyzing the Emotional Preferences of Teenage Readers -- A Multi-Institutional Analysis of CS1 Students’ Common Misconceptions of Key Programming Concepts -- Part IV: Smart Software Applications in Healthcare and Medicine -- Clustering-based Scaling for Healthcare Data -- Normative and Fuzzy components of Medical AI Applications -- Part V: Smart Software Applications in Infrastructure Monitoring -- Adaptive Structural Learning of Deep Belief Network and its Application to Real Time Crack Detection of Concrete Structure using Drone.
    Abstract: Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions, lead current research toward the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. The book at hand, devoted to Smart Software Applications in Cyber-Physical Systems, constitutes the second volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in Smart Software Applications in (i) Scientific Document Processing, (ii) Enterprise Modeling, (iii) Education, (iv) Health care and Medicine, and (v) Infrastructure Monitoring. Professors, researchers, scientists, engineers, and students in artificial intelligence, software engineering, and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
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  • 11
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783319699097
    Language: English
    Series Statement: Springer eBook Collection
    Keywords: Quality of life. ; Positive psychology. ; Medical research. ; Economics. ; Management science.
    Abstract: This 2nd edition is the definite source on issues pertaining to the full range of topics in scientific and other scholarly research on the quality of life, including health-related quality of life research or also called patient-reported outcomes research. Altogether 500 new entries appear in this new edition. This single, multidimensional reference work connects the most salient and important contributions to the relevant fields from the behavioral and social sciences as well as health and healthcare. New topics in this 2nd edition are on disabilities, religion/spirituality, sex, sports, politics, government, science, literature, performance and visual arts, environmental quality and sustainable development. The 2nd edition of the Encyclopedia of Quality of Life and Well-being Research is an indispensable reference point for future research and writing topics on quality of life. .
    URL: Cover
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  • 12
    Book
    Book
    Cham : Springer International Publishing
    ISBN: 9783319618098
    Language: English
    Pages: X, 264 Seiten , Illustrationen
    Series Statement: Happiness Studies Book Series
    Parallel Title: Erscheint auch als
    DDC: 306
    RVK:
    Keywords: Social sciences ; Medical research ; Statistics ; Economic growth ; Quality of life ; Social Sciences ; Quality of Life Research ; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law ; Economic Growth ; Methodology of the Social Sciences ; Sozialwissenschaften ; Statistik
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  • 13
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Imprint: Springer
    ISBN: 9783319618104
    Language: English
    Pages: 1 Online-Ressource (X, 264 p. 30 illus., 15 illus. in color)
    Series Statement: Happiness Studies Book Series
    Parallel Title: Erscheint auch als
    DDC: 306
    RVK:
    Keywords: Social sciences ; Medical research ; Statistics ; Economic growth ; Quality of life
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
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  • 14
    Online Resource
    Online Resource
    Cham : Springer International Publishing
    ISBN: 9783319605951
    Language: English
    Pages: Online-Ressource (XI, 332 p, online resource)
    Series Statement: Social Indicators Research Series 70
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Druckausg.
    Keywords: Social sciences ; Medical research ; Statistics ; Quality of life ; Social Sciences ; Social sciences ; Medical research ; Statistics ; Quality of life
    Abstract: This volume discusses the many recent significant developments, and identifies important problems, in the field of social indicators. In the last ten years the methodology of multivariate analysis and synthetic indicators construction significantly developed. In particular, starting from the classical theory of composite indicators many interesting approaches have been developed to overcome the weaknesses of composites. This volume focuses on these recent developments in synthesizing indicators, and more generally, in quantifying complex phenomena
    Abstract: Part I. Conceptual issues -- Chapter 1. Epistemology of Complexity (Alberto Peruzzi) -- Chapter 2. Building Knowledge. Between Measure and Meaning: A Phenomenological Approach (Rocco Sacconaghi) -- Part 2. Methodological Issues -- Chapter 3. Socio-Economic Statistics for A Complex World: Perspectives and Challenges in the Big Data Era (Marco Fattore) -- Chapter 4. Developing Indicators and Managing the Complexity (Filomena Maggino) -- Chapter 5 -- Dealing with Syntheses in a System of Indicators (Filomena Maggino) -- Chapter 6. Scalability of Composite Indices: Complexity Complications (Kenneth C. Land, Vicki L. Lamb, Xiaolu Zang) -- Part 3. Technical Issues -- Chapter 7. Synthesis of Indicators: The Composite Indicators Approach (Matteo Mazziotta & Adriano Pareto) -- Chapter 8. Synthesis of Indicators: The Non-Aggregative Approach (Marco Fattore) -- Chapter 9. The Role of Extended IRT Models for Composite Indicators Construction (Michela Gnaldi, Simone Del Sarto & Filomena Maggino) -- Part 4. Particular Experiences -- Chapter 10. Synthesis of Indicators Through Weighting: The Experiences of Quality of Life Measures (Chang-Ming Hsieh) -- Chapter 11. The Role of Normalization in Building Composite Cndicators. Rationale and Consequences of Different Strategies (Ludovico Carrino) -- Chapter 12. Steps Towards a Synthetic Measure Derived from a Partially Ordered Set (Giovanna Boccuzzo & Giulio Caperna) -- Chapter 13. Joint analysis of Structural Models and Performance: Merging Clustering and Composite Indicators in the Analysis of Europe 2020 strategy (Tommaso Rondinella & Elena Grimaccia)
    URL: Volltext  (lizenzpflichtig)
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  • 15
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Imprint: Springer
    ISBN: 9783319205687 , 9783319205670
    Language: English
    Pages: 1 Online-Ressource (VIII, 327 p. 26 illus)
    Edition: 1st ed. 2016
    Series Statement: Social Indicators Research Series 60
    DDC: 306
    RVK:
    Keywords: Social sciences ; Medical research ; Quality of life ; Festschrift ; Festschrift ; Festschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 16
    Online Resource
    Online Resource
    Cham : Springer International Publishing
    ISBN: 9783319159041
    Language: English
    Pages: X, 230 p. 13 illus
    Series Statement: Social Indicators Research Series 57
    Parallel Title: Erscheint auch als
    DDC: 306
    RVK:
    Keywords: Social sciences ; Quality of Life ; Statistics ; Quality of Life Research ; Aufsatzsammlung
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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