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Dieses Open Buch schlägt eine Brücke zwischen Theorie und Praxis für das produzierende Gewerbe im Zeitalter der Digitalisierung, der Industrie 4.0 und der Künstlichen Intelligenz. Es ist das Resultat eines vierjährigen Forschungsprojekts, das unter der Leitung des Instituts für Produktionssysteme der Technischen Universität Dortmund und der RapidMiner GmbH in Zusammenarbeit mit zwölf weiteren Partnern durchgeführt wurde. Das Hauptziel des Projekts war die Entwicklung einer Datenanalyse-Plattform zur Förderung einer effektiven und kompetenzorientierten Zusammenarbeit in dynamischen Wertschöpfungsnetzwerken. Die zwanzig Beiträge in diesem Sammelband liefern umfassende Einblicke in die Forschungsergebnisse und schildern die gemeinsamen Erfahrungen der Partner aus produzierenden Unternehmen, Software- und Hardware-Anbietern sowie Forschungseinrichtungen. Im Fokus steht die Entwicklung von Lösungen, die in einem modularen Referenzbaukasten zusammengefasst sind. Dieser Baukasten unterstützt industrielle Datenanalysen und deren Integration in betriebliche Abläufe. Er fördert darüber hinaus eine kompetenzorientierte Zusammenarbeit und ermöglicht somit die Initiierung neuer Geschäftsmodelle und Kollaborationen. Das Buch richtet sich an Praktiker:innen aus der Industrie ebenso wie an Wissenschaftler:innen. Es liefert Impulse und bietet Hilfestellungen, um den Herausforderungen der digitalen Transformation zu begegnen und die Zukunft der industriellen Datenanalyse erfolgreich zu gestalten. Die Herausgeber Univ.-Prof. Dr.-Ing. Jochen Deuse ist Leiter des Instituts für Produktionssysteme der Technischen Universität Dortmund und hält seit 2005 die Professur für Arbeits- und Produktionssysteme (APS). Seit 2019 leitet er außerdem das Centre for Advanced Manufacturing an der University of Technology Sydney in Australien. Ralf Klinkenberg ist Gründer und Forschungsleiter von RapidMiner, einer Software-Plattform für Data Science, Maschinelles Lernen und Predictive Analytics mit über 1 Mio. registrierten Anwendern weltweit. Er verfügt über 30 Jahre Erfahrung im Bereich Künstliche Intelligenz, Maschinelles Lernen und industrieller Datenanalyse-Anwendungen. Im Projekt AKKORD, das er als Konsortialführer leitete, entwickelte RapidMiner eine KI-Toolbox, die Anwender ohne KI-Expertise befähigt, KI und ML zu nutzen. Nikolai West ist wissenschaftlicher Mitarbeiter des Instituts für Produktionssysteme der Technischen Universität Dortmund und promoviert zum Themenfeld der unüberwachten Anomalieerkennung im Qualitätsmanagement. Im Forschungsprojekt AKKORD hat er die operative Projektleitung übernommen und eine zentrale Rolle bei der Umsetzung der industriellen Datenanalyse ausgefüllt.
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Offered as an introduction to the field of data structures and algorithms, Open Data Structures covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs. Analyzed and implemented in Java, with a mathematically rigorous approach, Morin clearly and briskly presents instruction along with source code. A modern treatment of an essential computer science topic, this text is a measured balance between classical topics and state-of-the-art structures that will serve the needs of all undergraduate
Abstract data types (Computer science). --- Data structures (Computer science). --- Java (Computer program language). --- Engineering & Applied Sciences --- Computer Science --- Data structures (Computer science) --- Computer algorithms. --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Algorithms --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- algorithms --- java --- data structures --- programming
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Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called 'ontologies,' for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who created them, and unable to serve
#KVHA:Ontologie --- Ontology. --- Bioinformatics. --- Ontologies (Information retrieval) --- Data structures (Computer science) --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Being --- Philosophy --- Metaphysics --- Necessity (Philosophy) --- Substance (Philosophy) --- Data processing
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The book on Ontology in Information Science explores a broad set of ideas and presents some of the state-of-the-art research in this field concisely in 12 chapters. This book provides researchers and practitioners working in the field of ontology and information science an opportunity to share their theories, methodologies, experiences, and experimental results related to ontology development and application in various areas. It also includes the design aspects of domain ontologies considering the architecture, development strategy, and selection of tools. The intended audience of this book will mainly consist of researchers, research students, and practitioners in the field of ontology and information science.
Ontologies (Information retrieval) --- Information science --- Research. --- Communication --- Information literacy --- Library science --- Data structures (Computer science) --- Physical Sciences --- Engineering and Technology --- Information and Knowledge Engineering --- Computational Intelligence --- Computer and Information Science
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The two open access volumes LNCS 14574 and 14575 constitute the proceedings of the 27th International Conference on Foundations of Software Science and Computation Structures, FOSSACS 2024, which took place in Luxembourg in April 2024. The 24 full papers included in this book were carefully reviewed and selected from 79 submissions. They were organized in topical sections as follows: Part I: Infinite games; categorical semantics; automata and synthesis; Part II: Types and programming languages; logic and proofs; infinite-state systems.
Computer science. --- Mathematical logic. --- Data structures (Computer science). --- Information theory. --- Computer systems. --- Computer science --- Theory of Computation. --- Mathematical Logic and Foundations. --- Data Structures and Information Theory. --- Computer System Implementation. --- Mathematics of Computing. --- Mathematics.
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This open access book presents nine outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers. Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Controls, and Telecommunications. Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the nine best theses defended in 2018-19 and selected for the IT PhD Award. Each of the nine authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.
Telecommunication. --- Data structures (Computer scienc. --- Communications Engineering, Networks. --- Control and Systems Theory. --- Data Structures. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Electrical engineering. --- Control engineering. --- Data structures (Computer science). --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Electric engineering --- Engineering --- Electrical engineering
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This book is published open access under a CC BY 4.0 license. It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm(DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining. Contents Approaches to Unsupervised Machine Learning Methods of Visualization of High-Dimensional Data Quality Assessments of Visualizations Behavior-Based Systems in Data Science Databionic Swarm (DBS) Target Groups Lecturers, students as well as non-professional users of data science, statistics, computer science, business mathematics, medicine, biology The Author Michael C. Thrun, Dipl.-Phys., successfully defended his Ph.D. in 2017 at the Philipps University of Marburg. Thrun’s advisor was the Chair of Neuroinformatics, Prof. Dr. rer. nat. Alfred G. H. Ultsch.
Computer science. --- Data structures (Computer science). --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Data Structures. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Informatics --- Science --- Optical pattern recognition. --- Data structures (Computer scienc. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Data structures (Computer science) --- Cluster Analysis --- Dimensionality Reduction --- Swarm Intelligence --- Visualization --- Unsupervised Machine Learning --- Data Science --- Knowledge Discovery --- 3D Printing --- Self-Organization --- Emergence --- Game Theory --- Advanced Analytics --- High-Dimensional Data --- Multivariate Data --- Analysis of Structured Data
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This open access book shows the factors linking information flow, social intelligence, rights management and modelling with epistemic democracy, offering licensed linked data along with information about the rights involved. This model of democracy for the web of data brings new challenges for the social organisation of knowledge, collective innovation, and the coordination of actions. Licensed linked data, licensed linguistic linked data, right expression languages, semantic web regulatory models, electronic institutions, artificial socio-cognitive systems are examples of regulatory and institutional design (regulations by design). The web has been massively populated with both data and services, and semantically structured data, the linked data cloud, facilitates and fosters human-machine interaction. Linked data aims to create ecosystems to make it possible to browse, discover, exploit and reuse data sets for applications. Rights Expression Languages semi-automatically regulate the use and reuse of content.
Mass media --- Philosophy. --- Data structures (Computer scienc. --- IT Law, Media Law, Intellectual Property. --- Philosophy of Technology. --- Data Structures. --- Mental philosophy --- Humanities --- Law and legislation. --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Mass media. --- Law. --- Data structures (Computer science). --- Acts, Legislative --- Enactments, Legislative --- Laws (Statutes) --- Legislative acts --- Legislative enactments --- Jurisprudence --- Legislation --- Mass communication --- Media, Mass --- Media, The --- Communication --- Law --- Philosophy --- Information technology --- Technology --- Artificial intelligence --- Data Science. --- Data processing. --- Technology and civilization --- Technology and law
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This open access book is a modern guide for all C++ programmers to learn Intel Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout the book the authors present numerous examples and best practices to help you become an effective TBB programmer and leverage the power of parallel systems. Pro Intel Threading Building Blocks starts with the basics, explaining parallel algorithms and C++'s built-in standard template library for parallelism. You'll learn the key concepts of managing memory, working with data structures and how to handle typical issues with synchronization. Later chapters apply these ideas to complex systems to explain performance tradeoffs, mapping common parallel patterns, controlling threads and overhead, and extending TBB to program heterogeneous systems or system-on-chips. .
Computer science. --- Computer software. --- Data structures (Computer scienc. --- Programming Languages, Compilers, Interpreters. --- Programming Techniques. --- Algorithm Analysis and Problem Complexity. --- Data Structures. --- Software, Computer --- Computer systems --- Informatics --- Science --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Programming languages (Electronic computers). --- Computer programming. --- Algorithms. --- Data structures (Computer science). --- Algorism --- Algebra --- Arithmetic --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Foundations --- Programming --- Computer science --- Programming languages (Electronic computers) --- Computer programming --- Algorithms
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This open access book begins with an algorithm–a set of IF…THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others.
Technology—Sociological aspects. --- Culture. --- Technology. --- Computer science. --- Data structures (Computer scienc. --- Science and Technology Studies. --- Culture and Technology. --- Computers and Society. --- Data Structures and Information Theory. --- Mathematical Logic and Formal Languages. --- Informatics --- Science --- Applied science --- Arts, Useful --- Science, Applied --- Useful arts --- Industrial arts --- Material culture --- Cultural sociology --- Culture --- Sociology of culture --- Civilization --- Popular culture --- Social aspects --- Technology --- Data structures (Computer science) --- Sociological aspects. --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Sociology of technology --- Sociology --- Computers and civilization. --- Data structures (Computer science). --- Mathematical logic. --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Civilization and computers --- Social sciences --- Technology—Sociological aspects --- Computers and civilization
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