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Energy data often is critical data which can negatively affect users' privacy. Therefore, this work presents a user-oriented energy data management system which does not only comply with technical requirements but also lives up to users' demands in terms of privacy and data protection.

Energiedaten, Energiedatenmanagement, Energiewende, Privatsphäre, Datenschutz,energy data, management, privacy

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Data Mining Applications in Engineering and Medicine targets to help data miners who wish to apply different data mining techniques. Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc. In this book, most of the areas are covered by describing different applications. This is why you will find here why and how Data Mining can also be applied to the improvement of project management. Since Data Mining has been widely used in a medical field, this book contains different chapters reffering to some aspects and importance of its use in the mentioned field: Incorporating Domain Knowledge into Medical Image Mining, Data Mining Techniques in Pharmacovigilance, Electronic Documentation of Clinical Pharmacy Interventions in Hospitals etc. We hope that this book will inspire readers to pursue education and research in this emerging field.

Physical Sciences, Engineering and Technology --- Computer and Information Science --- Artificial Intelligence --- Data Management System

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The book is based on practical requirements for the management of quantitative research data in small to medium-sized research projects in the social sciences, which generate and analyse data, save original data and archive and make them available for further use in the long term. In order to equip scientists with the tools to specifically meet these requirements, typical questions of data-based research projects are addressed on the basis of application cases and systematically processed with proven concepts of research data management. Overall, the book is a practical guide to documenting data-based research products (e.g. data files, measuring instruments, survey methods, analysis syntaxes) step by step, securing them professionally and making them available for subsequent use. In addition, the book highlights open questions and current challenges in dealing with research data. In the interest of scientifically and methodologically sound research data management, it also opens up perspectives for university education and research into the management of research data.

Data Sharing --- Research Data Management --- Social Science Research --- Social Sciences --- Research Data --- Data-Sharing --- Forschungsdatenmanagement --- Sozialwissenschaftliche Forschung --- Sozialwissenschaften --- Forschungsdaten

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Currently, companies have covered their business processes with stationary workstations while mobile business applications have limited relevance. Companies can cover their overall business processes more time-efficiently and cost-effectively when they integrate mobile users in workflows using mobile device features. The objective is a framework that can be used to model and control business applications for PLM processes using mobile device features to allow a totally new user experience.

Produktlebenszyklusmanagement (PLM), Produktdatenmanagement (PDM), Framework , Mobile Gerätefeature, ProduktentwicklungProduct Lifecycle Management (PLM), Product Data Management (PDM), Framework, Mobile Device Feature, Product Development

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The proliferation of powerful but cheap devices, together with the availability of a plethora of wireless technologies, has pushed for the spread of the Wireless Internet of Things (WIoT), which is typically much more heterogeneous, dynamic, and general-purpose if compared with the traditional IoT. The WIoT is characterized by the dynamic interaction of traditional infrastructure-side devices, e.g., sensors and actuators, provided by municipalities in Smart City infrastructures, and other portable and more opportunistic ones, such as mobile smartphones, opportunistically integrated to dynamically extend and enhance the WIoT environment. A key enabler of this vision is the advancement of software and middleware technologies in various mobile-related sectors, ranging from the effective synergic management of wireless communications to mobility/adaptivity support in operating systems and differentiated integration and management of devices with heterogeneous capabilities in middleware, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few. The book presents state-of-the-art contributions in the articulated WIoT area by providing novel insights about the development and adoption of middleware solutions to enable the WIoT vision in a wide spectrum of heterogeneous scenarios, ranging from industrial environments to educational devices. The presented solutions provide readers with differentiated point of views, by demonstrating how the WIoT vision can be applied to several aspects of our daily life in a pervasive manner.

Industry 4.0 --- data management --- Internet of Things --- performance analysis --- experimental evaluation --- one-to-one computing educational program --- Mobile Device Management --- Internet of Things --- Processing-in-Memory --- programming paradigm --- Internet of Things --- virtual reality --- body area network --- training simulator --- privacy and security --- internet of things --- very long instruction word (VLIW) --- DSP --- instruction set extension --- interoperability --- Web-of-Things --- semantics --- Internet-of-Things --- registry --- big data analytics --- Internet of Things --- microservices architecture --- microservice-oriented platform --- software defined infrastructure --- heterogeneity --- middleware --- semantic --- ontology --- behaviour --- web-of-things --- privacy leakage detection --- intelligent medical service --- fog computing --- Android --- context information --- fog computing --- internet of things --- mobility --- container --- migration --- CRIU --- pre-copy --- post-copy --- Internet-of-Things --- smart metering --- water consumption --- CubeSats --- internet of things --- medium access control --- nanosatellites --- sensor networks --- wireless access networks