Data mining

** THE INSTANT NEW YORK TIMES BESTSELLER ** A WATERSTONES BEST BOOK OF THE YEAR **'Visionary ... buy or borrow this book, read it, take it to heart' OBSERVER'Everyone who cares about freedom should read this book' ANNE APPLEBAUM'Passionate, intimate, compelling - a clarion call' PHILIPPE SANDSA brilliant exploration of freedom - what it is, how it's been misunderstood, and why it's our only chance for survival from the acclaimed, bestselling author of On Tyranny Freedom is our great commitment, but we have lost sight of what it means - leading us into crisis. Too many of us look at freedom as the absence of state power: we think we're free if we can do and say as we please. But true freedom isn't so much freedom from, as freedom to - the freedom to thrive, to take risks for futures we choose by working together. Freedom is the value that makes all other values possible.Drawing on the work of philosophers and political dissidents, conversations with contemporary thinkers and his own experiences, Snyder identifies the practices and attitudes that will allow us to design a government in which we and future generations can flourish. Intimate yet ambitious, this book forges a new consensus rooted in a politics of abundance, generosity and grace.On Tyranny inspired millions around the world to fight for freedom; On Freedom helps us see exactly what we're fighting for. It is a thrilling intellectual journey and a tour de force of political philosophy.'In these hard times for liberty, On Freedom makes the case that freedom, once explored and understood, is the way forward' PRESIDENT ZELENSKY*New York Times bestseller list, 6 Oct 24*.

"Tech giants like Facebook, Amazon, and Google can collect real-time data from billions of users. For companies that design and manufacture physical products, that type of fluid, data-rich information used to be a pipe dream. Now, with the rise of cheap and powerful sensors, computing power, and artificial intelligence, things are changing-fast. In Fusion Strategy, world-renowned innovation guru Vijay Govindarajan and digital strategy expert Venkat Venkataraman offer a first-of-a-kind playbook that will help companies combine what they do best-create physical products-with what digitals do best-use algorithms and artificial intelligence to parse ginormous, interconnected datasets-to make strategic connections that would otherwise be impossible. The laws of competitive advantage are changing, rewarding those who have the most robust real-time insights rather than the most valuable assets. To compete in the new digital age, companies need to use real-time data to turbocharge their products, strategies, and customer relationships. Or else they'll fall on the wrong side of the next great digital divide. Fusion Strategy is the way forward"--

This book constitutes revised selected papers from the 15th International Conference on Computer Supported Education, CSEDU 2023, which took place in Prague, Czech Republic, during April 21¿23, 2023.CSEDU 2023 accepted 34 full and 54 papers out of 162 papers submissions. Out of these, 8 contributions have been selected for inclusion in this book. The papers included in this book contribute to the understanding of relevant trends in the current research on Computer Supported Education, with a particular focus on: eLearning Platforms, Portals, Feedback and Learning Support, Game-Based and Simulation-Based Learning, Active Learning, Tools to Assess Learning, Learning with AI Systems, Higher Order Thinking Skills, Flipped Classroom, Faculty Development and Constructivism and Social Constructivism.

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques.The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on ¿social infrastructure¿ applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases.The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.

This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.The proceedings of MICAI 2023 workshops are structured into three sections:¿ WILE 2023: 16th Workshop on Intelligent Learning Environments¿ HIS 2023: 16th Workshop of Hybrid Intelligent Systems¿ CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications

This book constitutes revised papers from the International Workshops held at the 21st International Conference on Business Process Management, BPM 2023, in Utrecht, The Netherlands, during September 2023.Papers from the following workshops are included:¿ 7th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2023)¿ 7th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2023)¿ 19th International Workshop on Business Process Intelligence (BPI 2023)¿ 16th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2023)¿ 2nd International Workshop on Data-Driven Business Process Optimization (BPO 2023)¿ 11th International Workshop on Declarative, Decision and Hybrid Approaches to Processes (DEC2H 2023)¿ 1st International Workshop on Digital Twins for Business Processes (DT4BP 2023)¿ 1st International Workshop on Formal Methods for Business Process Management (FM-BPM 2023) ¿ 2nd International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2023)¿ 1st International Workshop on Object-Centric Processes from A to Z (OBJECTS 2023)¿ 3rd International Workshop on Change, Drift, and Dynamics of Organizational Processes (ProDy 2023) Each of the workshops focused on particular aspects of business process management. Overall, after a thorough review process, 42 full papers were selected from a total of 86 submissions.

Genealogies document relationships between persons involved in historical events. Information about the events is parsed from communications from the past. This book explores a way to organize information from multiple communications into a trustworthy representation of a genealogical history of the modern world. The approach defines metrics for evaluating the consistency, correctness, closure, connectivity, completeness, and coherence of a genealogy. The metrics are evaluated using a 312,000-person research genealogy that explores the common ancestors of the royal families of Europe. A major result is that completeness is defined by a genealogy symmetry property driven by two exponential processes, the doubling of the number of potential ancestors each generation, and the rapid growth of lineage coalescence when the number of potential ancestors exceeds the available population. A genealogy expands from an initial root person to a large number of lineages, which then coalesce into a small number of progenitors. Using the research genealogy, candidate progenitors for persons of Western European descent are identified. A unifying ancestry is defined to which historically notable persons can be linked.

This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2023, held in Krakow, Poland, during October 5¿8, 2023.The 43 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Rough Set Models, Foundations, Three-way Decisions, Granular Models, Distances and Similarities, Hybrid Approaches, Applications, Cybersecurity and IoT.

This volume LNCS 14396 constitutes the refereed proceedings of the 12th International Conference, MEDI 2023,in November 2023 ,held in Sousse, Tunisia.The 27 full papers were carefully peer reviewed and selected from 99 submissions. The Annual International Conference on Model and Data Engineering focuses on bring together researchers and practitioners and enabling them to showcase the latest advances in modelling and data management.

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent influencing techniques and "tricks" participating in recent advances in deep clustering, as well as a recall of the main deep learning architectures. Secondly, the book highlights the most popular works by ¿family¿ to provide a more suitable starting point from which to develop a full understanding of the domain. Overall, the book proposes a comprehensive up-to-date review of deep feature selection and deep clustering methods with particular attention to the knowledge discovery question and under a multi-criteria analysis. The book can be very helpful for young researchers, non-experts, and R&D AI engineers.

With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.A ¿spatial data management system¿ is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.

In diesem Buch werden die wichtigsten rechtlichen Begriffe, die der ärztliche Gutachter kennen sollte, übersichtlich, kompakt und vor allem präzise erläutert. Derselbe Begriff kann in Medizin und Rechtswissenschaft durchaus unterschiedlich verstanden werden. So ist die interdisziplinäre Kommunikation zwischen ärztlichen Sachverständigen und Gerichten/Verwaltung/Versicherungen eine schwierige Aufgabe für alle Beteiligten. Viele Streitfragen könnten allerdings vermieden werden, wenn man gerade bei diesen von Juristen und Medizinern gemeinsam benutzten Begriffen nicht aneinander vorbeireden würde. Hier setzt das Buch an: Für alle nachvollziehbar und dennoch mit höchster Präzision werden die wichtigsten Begriffe ¿ sortiert von A ¿ Z ¿ definiert. Stolpersteine ¿ ¿Cave¿ ¿ werden thematisiert und hervorgehoben. Darüber hinaus runden Hinweise auf die Pflichten des ärztlichen Gutachters und zahlreiche Tipps für die Erstellung und Abrechnung von ärztlichen Gutachten das Werk ab.Der Schwerpunkt der Erläuterungen betrifft den orthopädisch-unfallchirurgischen Bereich, den Herr Dr. Ludolph vertritt.In der 3. Auflage werden folgende Neuerungen berücksichtigt:· Zum 01.01.2024 ist das SGB XIV mit neuen Anspruchsgrundlagen und bisher in der Sozialgesetzgebung nicht bekannten Beweiserleichterungen in Kraft getreten· Ab 2021 wurde das Justizvergütungs- und Entschädigungsgesetz geändert. Die Vergütung des ärztlichen Sachverständigen, die auch Grundlage zahlreicher Vergütungsregelungen außerhalb des Gesetzes ist, wurde erhöht, die Zuordnung der Leistungen des ärztlichen Sachverständigen zu den einzelnen Vergütungsgruppen (M1 bis M3) wurde geändert.· Zum 01.07.2023 wurde die Vergütung von Gutachten für Berufsgenossenschaften und Unfallkassen erhöht (UV-GOÄ).· Entfallen ist zum 01.01.2021 der Unterlassungszwang. 9 der 80 Berufskrankheiten sahen als Tatbestandsvoraussetzung die Unterlassung der als ursächlich für die Erkrankung zu diskutierende Tätigkeit voraus. Ersetzt wurde dieser durch Mitwirkungspflichten. · Berücksichtigt wurden zudem eine Vielzahl rechtlicher Änderungen und aktuelle Gerichtsentscheidungen.

This book constitutes the proceedings of the First International Conference, CINS 2023, held in Dubai, United Arab Emirates, from October 18 to 20, 2023.The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, and the application of these intelligent techniques. The book also addresses several topics pertaining to networks, including security, network data processing, networks that transcend boundaries, device heterogeneity, and advancements in networks connected to the Internet of Things, software-defined networks, cloud computing, and intelligent networks.

This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7¿9, 2023. The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: ¿Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri.

Dieses Lehrbuch betrachtet Data Management als interdisziplinäres Konzept mit Fokus auf den Zielen datengetriebener Unternehmen. Im Zentrum steht die interaktive Entwicklung eines Unternehmensdatenmodells für ein virtuelles Unternehmen mit Unterstützung eines online Learning Games unter Einbeziehung der Aufgaben, Ziele und Grundsätze des Data Managements, typischer Data-Management-Komponenten und Frameworks wie Datenmodellierung und Design, Metadaten Management, Data Architecture, und Data Governance, und verknüpft diese mit datengetriebenen Anwendungen wie Business Warehousing, Big Data, In-Memory Data Management, und Machine Learning im Data Management Kontext.Das Buch dient als Lehrbuch für Studierende der Informatik, der Wirtschaft und der Wirtschaftsinformatik an Universitäten, Hochschulen und Fachschulen und zur industriellen Aus- und Weiterbildung.

A pattern language to cover from a small debugging trace to a distributed log with billions of messages from hundreds of computers, thousands of components, threads, and processes.

This book discusses the role of mobile network data in urban informatics, particularly how mobile network data is utilized in the mobility context, where approaches, models, and systems are developed for understanding travel behavior. The objectives of this book are thus to evaluate the extent to which mobile network data reflects travel behavior and to develop guidelines on how to best use such data to understand and model travel behavior. To achieve these objectives, the book attempts to evaluate the strengths and weaknesses of this data source for urban informatics and its applicability to the development and implementation of travel behavior models through a series of the authors' research studies.Traditionally, survey-based information is used as an input for travel demand models that predict future travel behavior and transportation needs. A survey-based approach is however costly and time-consuming, and hence its information can be dated and limited to a particular region. Mobile network data thus emerges as a promising alternative data source that is massive in both cross-sectional and longitudinal perspectives, and one that provides both broader geographic coverage of travelers and longer-term travel behavior observation. The two most common types of travel demand model that have played an essential role in managing and planning for transportation systems are four-step models and activity-based models. The book's chapters are structured on the basis of these travel demand models in order to provide researchers and practitioners with an understanding of urban informatics and the important role that mobile network data plays in advancing the state of the art from the perspectives of travel behavior research.

This book is about data analytics, including problem definition, data preparation, and data analysis. A variety of techniques (e.g., regression, logistic regression, cluster analysis, neural nets, decision trees, and others) are covered with conceptual background as well as demonstrations of KNIME using each tool.The book uses KNIME, which is a comprehensive, open-source software tool for analytics that does not require coding but instead uses an intuitive drag-and-drop workflow to create a network of connected nodes on an interactive canvas. KNIME workflows provide graphic representations of each step taken in analyses, making the analyses self-documenting. The graphical documentation makes it easy to reproduce analyses, as well as to communicate methods and results to others. Integration with R is also available in KNIME, and several examples using R nodes in a KNIME workflow are demonstrated for special functions and tools not explicitly included in KNIME.

This book constitutes the refereed proceedings of the 5th International Conference on Science of Cyber Security, SciSec 2023, held in Melbourne, VIC, Australia, during July 11¿14, 2023. The 21 full papers presented together with 6 short papers were carefully reviewed and selected from 60 submissions. The papers are organized in the topical sections named: ¿ACDroid: Detecting Collusion Applications on Smart Devices; Almost Injective and Invertible Encodings for Jacobi Quartic Curves; Decompilation Based Deep Binary-Source Function Matching.