Visual Knowledge Discovery And Machine Learning
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Visual Knowledge Discovery And Machine Learning
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Author : Boris Kovalerchuk
language : en
Publisher: Springer
Release Date : 2018-01-17
Visual Knowledge Discovery And Machine Learning written by Boris Kovalerchuk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-17 with Technology & Engineering categories.
This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
Artificial Intelligence And Visualization Advancing Visual Knowledge Discovery
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Author : Boris Kovalerchuk
language : en
Publisher: Springer Nature
Release Date : 2024-04-24
Artificial Intelligence And Visualization Advancing Visual Knowledge Discovery written by Boris Kovalerchuk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-24 with Computers categories.
This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens.
Integrating Artificial Intelligence And Visualization For Visual Knowledge Discovery
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Author : Boris Kovalerchuk
language : en
Publisher: Springer Nature
Release Date : 2022-06-04
Integrating Artificial Intelligence And Visualization For Visual Knowledge Discovery written by Boris Kovalerchuk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-04 with Technology & Engineering categories.
This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain. This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations. The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.
Human Interface And The Management Of Information Interaction Visualization And Analytics
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Author : Sakae Yamamoto
language : en
Publisher: Springer
Release Date : 2018-07-09
Human Interface And The Management Of Information Interaction Visualization And Analytics written by Sakae Yamamoto and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-09 with Computers categories.
This two-volume set LNCS 10904 and 10905 constitutes the refereed proceedings of the 20th International Conference on Human Interface and the Management of Information, HIMI 2018, held as part of HCI International 2018 in Las Vegas, NV, USA, in July 2018.The total of 1170 papers and 195 posters included in the 30 HCII 2018 proceedings volumes was carefully reviewed and selected from 4373 submissions. The 56 papers presented in this volume were organized in topical sections named: information visualization; multimodal interaction; information in virtual and augmented reality; information and vision; and text and data mining and analytics.
Scalable Interactive Visualization
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Author : Achim Ebert
language : en
Publisher: MDPI
Release Date : 2018-05-08
Scalable Interactive Visualization written by Achim Ebert and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-08 with Technology & Engineering categories.
This book is a printed edition of the Special Issue "Scalable Interactive Visualization" that was published in Informatics
Building Machines That See Think And Act Like Humans
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Author : Maria Johnsen
language : en
Publisher: Maria Johnsen
Release Date : 2025-05-30
Building Machines That See Think And Act Like Humans written by Maria Johnsen and has been published by Maria Johnsen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.
Building Machines That See, Think, and Act Like Humans Engineering Conscious Machines Through Visual Understanding Can a machine see the world as we do,and understand it with human-like intelligence? This groundbreaking book tackles one of the greatest challenges in Artificial General Intelligence (AGI, machines with broad, human-level cognitive abilities): designing systems that perceive, reason, and act with the flexibility, adaptability, and awareness of the human mind. Core Strength of My AGI Systems Unlike traditional devices, my invention doesn’t just recreate images it provides semantic, context-aware visual understanding, making it ideal for assisting the blind in real-world environments with navigation, object recognition, and safety. This book can help creating many AGI devices. For example: Governments can’t afford to install and monitor CCTV cameras in every park or public space, it’s expensive and often reactive rather than preventative. Yet we continue to witness assaults, even murders, in parks and places where joggers, seniors, and children spend time, crimes that often go unpunished due to a lack of evidence or witnesses. In my book, I introduce a groundbreaking solution: using Visual AGI to develop affordable, intelligent systems that can monitor public spaces, detect criminal behavior, and respond in real time. These systems don’t just record footage, they understand context, recognize patterns of violence, and alert authorities immediately, even when no one else is around. Unlike traditional surveillance, these AI-driven devices can be lightweight, low-cost, and highly adaptive, offering protection in the places where people are most vulnerable. My goal is to inspire innovators to build safer communities through intelligent technology that sees, thinks, and acts with purpose. One expertly combines insights from neuroscience, cognitive science, machine learning, and robotics to build the technical and conceptual foundation for visual AGI, machines that don’t just recognize images but comprehend context, infer meaning, and make decisions as conscious agents. 🔍 What sets this book apart: Full-color illustrations that clarify complex biological and computational concepts Rigorous mathematical equations supporting key models and algorithms In-depth coverage of embodied cognition, neuromorphic vision, and multimodal intelligence Innovative robot designs capable of human-like perception and goal-driven behavior Advanced topics including spiking neural networks, event-based sensors, deep reinforcement learning, and more Thoughtful discussions on ethics, bias, explainability, and human alignment in AGI 🧠 From retina to cortex, neurons to algorithms, this book is not just about computer vision. It’s visual understanding for the next generation of conscious machines. Whether you're a researcher, engineer, or visionary in AI and robotics, this book offers a comprehensive, richly illustrated, and mathematically grounded roadmap for creating machines that truly see, think, and act like humans. Whether you're building the next generation of intelligent agents, designing neuromorphic hardware, or researching the future of AI, this book offers a visionary roadmap for constructing systems that can learn, perceive, and act with purpose in the real world. Note: Some illustrations are placed on separate pages to ensure clear, full-color presentation without crowding the text. I recommend buying the color version as I explained human vision in color along with algorithms, they will not show properly in black and white.
Artificial Intelligence In Hci
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Author : Helmut Degen
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Artificial Intelligence In Hci written by Helmut Degen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Computers categories.
The four-volume set LNAI 15819–15822 constitutes the thoroughly refereed proceedings of the 6th International Conference on Artificial Intelligence in HCI, AI-HCI 2025, held as part of the 27th International Conference, HCI International 2025, which took place in Gothenburg, Sweden, June 22-17, 2025. The total of 1430 papers and 355 posters included in the HCII 2025 proceedings was carefully reviewed and selected from 7972 submissions. The papers have been organized in topical sections as follows: Part I: Trust and Explainability in Human-AI Interaction; User Perceptions, Acceptance, and Engagement with AI; UX and Socio-Technical Considerations in AI Part II: Bias Mitigation and Ethics in AI Systems; Human-AI Collaboration and Teaming; Chatbots and AI-Driven Conversational Agents; AI in Language Processing and Communication. Part III: Generative AI in HCI; Human-LLM Interactions and UX Considerations; Everyday AI: Enhancing Culture, Well-Being, and Urban Living. Part IV: AI-Driven Creativity: Applications and Challenges; AI in Industry, Automation, and Robotics; Human-Centered AI and Machine Learning Technologies.
Data Analysis And Optimization
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Author : Boris Goldengorin
language : en
Publisher: Springer Nature
Release Date : 2023-09-23
Data Analysis And Optimization written by Boris Goldengorin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-23 with Computers categories.
This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.
Interpretable Artificial Intelligence A Perspective Of Granular Computing
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Author : Witold Pedrycz
language : en
Publisher: Springer Nature
Release Date : 2021-03-26
Interpretable Artificial Intelligence A Perspective Of Granular Computing written by Witold Pedrycz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-26 with Technology & Engineering categories.
This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.
Recent Advances In Visual Information Systems
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Author : Shi-Kuo Chang
language : en
Publisher: Springer
Release Date : 2003-08-01
Recent Advances In Visual Information Systems written by Shi-Kuo Chang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-01 with Computers categories.
Visualinformationsystemsareinformationsystemsforvisualcomputing.Visual computing is computing on visual objects. Some visual objects such as images are inherently visual in the sense that their primary representation is the visual representation.Somevisualobjectssuchasdatastructuresarederivativelyvisual in the sense that their primary representation is not the visual representation, but can be transformed into a visual representation. Images and data structures are the two extremes. Other visual objects such as maps may fall somewhere in between the two. Visual computing often involves the transformation from one type of visual objects into another type of visual objects, or into the same type of visual objects, to accomplish certain objectives such as information reduction, object recognition, and so on. In visual information systems design it is also important to ask the foll- ing question: who performs the visual computing? The answer to this question determines the approach to visual computing. For instance it is possible that primarily the computer performs the visual computing and the human merely observes the results. It is also possible that primarily the human performs the visual computing and the computer plays a supporting role. Often the human and the computer are both involved as equal partners in visual computing and there are visual interactions. Formal or informal visual languages are usually needed to facilitate such visual interactions.