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Der Arbeitsplatz der Zukunft wird immer stärker durch die Wissensarbeit geprägt. Knowledge Science beschäftigt sich mit Konzepten, Methoden und Prozessen zur systematischen Erzeugung, Extraktion, Speicherung und Bereitstellung von Wissen zur Lösung von Problemen und lässt sich somit dem Wissensmanagement zuordnen. Kognitive Assistenten sorgen dafür, das richtige Wissen zur richtigen Zeit in der richtigen Art und Weise seinen Anwendern und Anwenderinnen bereitzustellen. Damit dies gelingen kann, kommen inzwischen zahlreiche Methoden der Künstlichen Intelligenz (KI) zur Unterstützung unterschiedlicher Aufgaben des Wissensmanagements zum Einsatz.Der InhaltWie lassen sich mit KI-Methoden die Wissenssicherung und Wissensnutzung in Unternehmen unterstützen? Dieses Buch charakterisiert den Arbeitsplatz der Zukunft und stellt die Bedeutung der Ressource Wissen und deren Management in den Vordergrund. Ziel ist es nicht, mittels KI den Menschen zu ersetzen, sondern ihn mittels kognitiver Assistenten bestmöglich bei seiner Arbeit zu unterstützen. Welche Bereiche des Unternehmens können mit Methoden der Künstlichen Intelligenz optimiert oder gänzlich transformiert werden? Welche Schritte sind sowohl organisatorisch als auch technisch notwendig und wie werden einzelne Methoden in den Bereichen tatsächlich durchgeführt? In diesem Buch werden die Methoden der KI anhand konkreter Fallstudien mit einer großen Bandbreite erläutert und entmystifiziert:Assistenzsysteme, die wie ein Mensch lernenWissenssicherung durch Smart Expert Debriefings Kognitive Assistenzsysteme für die Trendanalyse Kognitive Assistenzsysteme im ProjektmanagementMethoden der KI in industriellen AnwendungenDie ZielgruppenUnternehmer, Prozessverantwortliche und Fachanwender, die Methoden der KI in ihrem Unternehmen oder ihren Fachbereichen nutzen wollen.IT-Manager, IT-Experten und Data Scientists, die KI-basierte Lösungen im Wissensmanagement umsetzen Studierende im Bereich KI und Data Science

This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of Evo*2023, in April 2023, co-located with the Evo*2023 events EuroGP, EvoCOP, and EvoMUSART. The EuroGP focused on the technique of genetic programming, EvoCOP targeted evolutionary computation in combinatorial optimization, and EvoMUSART was dedicated to evolved and bio-inspired music, sound, art, and design.The EvoApplications 2023 presents papers on the different areas: Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications, Applications of Bio-inspired Techniques on Social Networks, Evolutionary Computation in Edge, Fog, and Cloud Computing, Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition and others.

This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2022, which took place in Sendai, Japan, during December 7-9, 2022.The 24 full papers and 16 short papers included in this volume were carefully reviewed and selected from 95 submissions. The papers are categorized into the following topical sub-headings: Heterogeneous System (1; HPC & AI; Embedded systems & Communication; Blockchain; Deep Learning; Quantum Computing & Programming Language; Best Papers; Heterogeneous System (2); Equivalence Checking & Model checking; Interconnect; Optimization (1); Optimization (2); Privacy; and Workflow.

This book presents a selection of peer-reviewed contributions on the latest developments in time series analysis and forecasting, presented at the 7th International Conference on Time Series and Forecasting, ITISE 2021, held in Gran Canaria, Spain, July 19-21, 2021. It is divided into four parts. The first part addresses general modern methods and theoretical aspects of time series analysis and forecasting, while the remaining three parts focus on forecasting methods in econometrics, time series forecasting and prediction, and numerous other real-world applications. Covering a broad range of topics, the book will give readers a modern perspective on the subject.The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics,statistics and econometrics.

This book describes common applied problems that are solved with the use of digital technology. The digital technology has simplified most of our daily activities. Technology has been improving our quality of life where human capability alone is insufficient enough to be utilized. For any challenging tasks, digital technology helps to solve it in very efficient ways and thousands of them are solved on a daily basis without much notice in the public. Software and IT technology let us to complete tasks in just a moment that took days without this technical support. In that sense, this book presents several examples on how software- and IT-based solutions were successfully applied in solving actual engineering problems.

Don't let artificial intelligence and robots steal your job!Still Room for Humans is the only survival guide you need in order to stay employable in the future. This book will teach you how to: make yourself indispensable to your company, develop soft skills that robots and AI cannot match, collaborate with robots, retool your skills without going back to school.You will also learn which traditionally safe careers and entire industries will no longer be safe in the future because of artificial intelligence. The author details why the changes caused by disruptive technology will be far greater and take place far faster than in previous industrial revolutions.This book offers several ways to cope with the introduction of artificial intelligence and robotics to a company or organization as well as how to take advantage of the disruption likely to result from other new technologies including 3D printing, the Internet of Things, virtual reality, green technologies, Big Data, blockchain, and nanotechnology.Still Room for Humans spells out the types of jobs long associated with well-paying careers that should be avoided because they are most likely to be eliminated by artificial intelligence. It lists several new jobs that don't exist yet but will be created shortly as new technologies become more prevalent.Schatt provides career planning information as well as specific advice for those readers already employed.

This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human computer interaction, and applications. The first part presents the most popular and fundamental techniques currently used for building recommender  systems, such as collaborative filtering, semantic-based methods, recommender systems based on implicit feedback, neural networks and context-aware methods. The second part of this handbook introduces more advanced recommendation techniques, such as session-based recommender systems, adversarial machine learning for recommender systems, group recommendation techniques, reciprocal recommenders systems, natural language techniques for recommender systems and cross-domain approaches to recommender systems. The third part covers a wide perspective to the evaluation of recommender systems with papers on methods for evaluating recommender systems, their value and impact, the multi-stakeholder perspective of recommender systems, the analysis of the fairness, novelty and diversity in recommender systems. The fourth part contains a few chapters on the human computer dimension of recommender systems, with research on the role of explanation, the user personality and how to effectively support individual and group decision with recommender systems. The last part focusses on application in several important areas, such as, food, music, fashion and multimedia recommendation. This informative third edition handbook provides a comprehensive, yet concise and convenient reference source to recommender systems for researchers and advanced-level students focused on computer science and data science. Professionals working in data analytics that are using recommendation and personalization techniques will also find this handbook a useful tool. 

Apply data fabric solutions to automate data integration, data sharing, and data protection across disparate data sources without moving your dataPurchase of the print or Kindle book includes a free PDF eBookKey Features:Learn to design data fabric architecture effectively with your choice of toolBuild and use a data fabric solution using DataOps and data mesh frameworksFind out how to build data integration, data governance, and self-service analytics architectureBook Description:Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered.The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You'll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you'll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles.By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution.What You Will Learn:Understand the core components of Data Fabric solutionsCombine Data Fabric with Data Mesh and DataOps frameworksImplement distributed data management and regulatory compliance using Data FabricManage and enforce Data Governance with active metadata using Data FabricExplore industry best practices for effectively implementing a Data Fabric solutionWho this book is for:If you are a data engineer, data architect, or business analyst who wants to learn all about implementing data fabric architecture, then this is the book for you. This book will also benefit senior data professionals such as chief data officers looking to integrate data fabric architecture into the broader ecosystem.

This book constitutes the refereed post-conference proceedings of the Second International Conference on ICT for Health, Accessibility and Wellbeing, IHAW 2022, held in Larnaca, Cyprus, in December 2022. The revised 14 full papers and 3 short papers presented were carefully selected from 33 submissions. The papers are thematically arranged in the following sections: Visual Impairment and ICT for Mobility; ICT and Student Health; ICT and Wellbeing and ICT & Health prevention

This book constitutes the refereed and selected papers presented during the Third International Conference on Internet of Things, ICIoT 2022, held in Chennai, India, in April 2022. The 10 papers were thoroughly reviewed and selected from the 100 qualified submissions. They focus on application of IoT in the field of Computer Science and Information Technology as well as on Industrial IoT.

This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada.

This book constitutes the post proceedings of the 18th International Workshop on Security and Trust Management, STM 2022, co-located with the 27th European Symposium on Research in Computer Security, ESORICS 2022, which took place in Copenhagen, Denmark, in September 2022.The 7 full papers together with 4 short papers included in this volume were carefully reviewed and selected from 18 submissions. The workshop presents papers with topics such as security and trust access control, cryptographic protocols, identity management, security metrics, and privacy.

This book constitutes the refereed proceedings of the 19th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2022, held in Izola, Slovenia, in September 2022. The 4 full papers presented in this book were carefully reviewed and selected from 22 submissions. In addition, this book includes 6 work-in-progress papers, 4 new ideas paper, and two invited papers. This series of conferences serves as a meeting place to bring together distributed systems expertise (e.g., in resource allocation, quality of service management, and energy consumption) with economics expertise (focusing on both micro- and macro-economic modelling and analysis) for creating effective solutions in this space.

This book constitutes the refereed proceedings of the 25th International Conference, ICISC 2022, held in Seoul, South Korea, during November 30¿December 2, 2022. The 24 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: ¿Public Key Encryption with Hierarchical Authorized Keyword Search, Implicit Key-stretching Security of Encryption Schemes.

The refereed proceedings of the 15th International Conference on Computer Aided Verification, CAV 2003, held in Boulder, CO, USA in July 2003.The 32 revised full papers and 9 tool papers presented were carefully reviewed and selected from a total of 102 submissions. The papers are organized in topical sections on bounded model checking; symbolic model checking; games, trees, and counters; tools; abstraction; dense time; infinite state systems; applications; theorem proving; automata-based verification; invariants; and explicit model checking.

This book constitutes the refereed post-conference proceedings the 14th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2022, which was held in Sydney, NSW, Australia, on September 5, 2022.The 5 revised full papers presented were carefully selected from 12 submissions. The conference focuses on Pick and Mix Isolation Levels; Benchmarking considerations for Trustworthy and Responsible AI (Panel); Preliminary Scaling Characterization with TPCx-AI and New Initiatives.

This book constitutes the refereed proceedings of the 14th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2023, held in Munich, Germany, during April 3¿4, 2023. The 12 full papers included in this book were carefully reviewed and selected from 28 submissions. They were organized in topical sections as follows: fault-injection analyses and countermeasures; side-channel analyses and countermeasures; attacks on PQC and countermeasure; and analyses and tools.

This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23¿28, 2022.The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops:¿ 3rd International Workshop on Event Data and Behavioral Analytics (EDBA)¿ 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)¿ 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics)¿ 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)¿3rd International Workshop on Streaming Analytics for Process Mining (SA4PM)¿ 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)¿ 1st International Workshop on Education meets Process Mining (EduPM)¿ 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)

This book constitutes the 11th EAI International Conference of the International Conference on Context-Aware Systems and Applications, ICCASA 2022, held in Vinh Long, Vietnam, during October 27-28, 2022. The 14 revised full papers presented were carefully selected from 40 submissions. The papers cover a wide spectrum of modern approaches and techniques for smart computing systems and their applications.

This open access book provides an introduction and an overview of learning to quantify (a.k.a. ¿quantification¿), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (¿biased¿) class proportion estimates.The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research.The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (¿macrö) data rather than on individual (¿micrö) data.

¿This book constitutes the refereed proceedings of the XXIst International Conference of the Italian Association for Artificial Intelligence on AIxIA 2022 ¿ Advances in Artificial Intelligence, which was held in Udine, Italy, during November 28¿December 2, 2022.The 33 full papers and 1 invited paper presented in this volume were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Hybrid Approaches; Graphs and Networks; Multiagent Systems; Automated Planning and Scheduling; AI Applications; Miscellany; Natural Language Processing; and Keynote talk.