{"title":"Informatik","description":"","products":[{"product_id":"the-handbook-of-data-science-and-ai-stefan-papp-ebook","title":"The Handbook of Data Science and AI","description":"- A comprehensive overview of the various fields of application of data science and artificial intelligence.\n- Case studies from practice to make the described concepts tangible.\n- Practical examples to help you carry out simple data analysis projects.\n- NEW in the 3rd edition: Chapters on Vibe Coding and AI Agents\n\nData Science, Big Data, Artificial Intelligence and Generative AI are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them.\nUsing exercises and real-world examples, it will show you how to apply data science methods, build data platforms, and deploy data- and ML-driven projects to production. 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Theoretical determinants affecting user’s intentions to use and accepts such systems will be considered such as user’s social influence, accomplishments of important user’s goals, hedonic motivations (the fun or pleasure of using a technology), price values (a trade-off between perceived benefits and monetary costs), and users’ habits. In addition to these theoretical formulations, since the proposed interactive systems are increasingly more complex, showing humanoid and human appearance, the book is aiming to collect systematic investigations devoted to assessing the role of virtual agents, chatbots, and robotic features exploiting users’ domain specific preferences in the context of healthcare and particularly in the context of applications devoted to easing and making independent the life of seniors living alone and  vulnerable persons. Studies on virtual agent’s acceptance, engagements in interaction and preferences in specific appearances such as human-like agents over machine- or animal-like ones will be reported, as well as the psychological effects that engage vulnerable people in emotionally believable interactions keeping off loneliness, sustaining health status, enhancing quality of life and simplifying access to future telecare services. Studies devoted to the testing how these interactive systems are accepted by a large population of users including young children, and adolescents, other than young, middle aged adults and seniors will be also considered.\u003c\/p\u003e","brand":"Anna Esposito","offers":[{"title":"Default Title","offer_id":53627944993095,"sku":"9789819540761","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/socially-aware-and-responsible-ai-applications-ebook.webp?v=1775012287"},{"product_id":"security-and-privacy-in-social-networks-and-big-data-ebook","title":"Security and Privacy in Social Networks and Big Data","description":"\u003cp\u003eThis book LNCS 16327 constitutes the referred proceedings of the 11th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2025, held in Wuhan, China during December 5–7, 2025.\u003c\/p\u003e\n\u003cp\u003eThe 12 full papers presented in this volume were carefully reviewed and selected from 25 submissions.The SocialSec conference series aims to provide a leading-edge forum to foster interactions among researchers and developers within the security and privacy communities in social networks and big data.\u003c\/p\u003e","brand":"Liming Zhai","offers":[{"title":"Default Title","offer_id":53627956724039,"sku":"9789819570270","price":60.98,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/security-and-privacy-in-social-networks-and-big-da-ebook.webp?v=1775012638"},{"product_id":"securing-industrial-control-systems-mohammad-ashiqur-rahman-ebook","title":"Securing Industrial Control Systems","description":"\u003cp\u003e1. 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The event gathered leading researchers in mathematics, algorithms, and machine learning. Its goal was to advance the synergy between data-driven models and scientific computing, promoting robust, interpretable, and scalable methods. The works reflect major trends in scientific machine learning (SciML), including optimization, physics-informed learning, neural graph\/operators\/ODE, transformers, and generative models. Contributions propose physics-based constrained neural networks, advancements in optimization and model reduction, and applications across power systems, chemical kinetics, and biomechanics. Topics span from hybrid models for image classification to generative compression and neural operators for high-dimensional systems. Blending theory and practice, the volume captures the diversity and innovation shaping modern SciML.\u003c\/p\u003e\n\u003cp\u003eThis volume is addressed to researchers and will provide readers with insight into the current state of the field, sparks new ideas, and encourages further research at the rich intersection of machine learning, mathematics, and scientific computing.\u003c\/p\u003e","brand":"Federico Pichi","offers":[{"title":"Default Title","offer_id":53627958690119,"sku":"9783032115270","price":234.33,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/scientific-machine-learning-ebook.webp?v=1775012699"},{"product_id":"role-of-artificial-intelligence-in-higher-education-ebook","title":"Role of Artificial Intelligence in Higher Education","description":"\u003cp\u003e\u003cspan style=\"mso-fareast-language: EN-US;\"\u003eThe book examines AI's role in improving learning outcomes, expanding access to education, fostering research and innovation, and preparing students for the future workforce. It balances practical case studies with theoretical analysis, offering strategic guidance on the ethical considerations of integrating AI into educational systems. By addressing the implications of AI on global education, the book highlights its relevance in various cultural and economic contexts.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"mso-fareast-language: EN-US;\"\u003eFurthermore, the volume emphasizes AI's potential to help achieve quality education for all, as outlined in SDG 4, while also tackling the ethical dilemmas surrounding its widespread adoption. This resource is future-oriented, considering both current trends and the long-term impact of AI on higher education. 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It highlights the dynamic and interdisciplinary nature of cyber deception research, offering insights into diverse application areas such as industrial control systems and AI security.\u003c\/p\u003e\n\u003cp\u003eCyber deception has emerged as a critical strategy for defending digital assets across academia, industry, and government. By creating false information, deceptive environments, or misleading signals, it aims to confuse, delay, or misdirect adversaries while simultaneously gathering intelligence on their tactics. This proactive approach shifts the traditional information advantage from attackers to defenders, strengthening cybersecurity resilience.\u003c\/p\u003e\n\u003cp\u003eDesigned as a foundational resource, this book is particularly valuable for students and early-career researchers seeking to understand cyber deception and identify pressing research challenges. 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font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: ZH-CN;\"\u003e.- \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: EN-AU;\"\u003eChallenges and Future Directions.\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Jiaming Pei","offers":[{"title":"Default Title","offer_id":53628168110407,"sku":"9789819561605","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/federated-learning-for-smart-mobility-ebook.webp?v=1775019664"},{"product_id":"evolutionary-computation-in-combinatorial-optimization-ebook","title":"Evolutionary Computation in Combinatorial Optimization","description":"\u003cp\u003eThis book constitutes the referred proceedings of the 26th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2026, held as part of EvoStar 2026, in Toulouse, France, during April 8-10, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 10 full papers presented in this book were carefully reviewed and selected from 42 submissions. \u003c\/p\u003e\n\u003cp\u003eThe 10 accepted papers cover a variety of topics, ranging from fitness landscape analysis, over adaptive methods, heuristics for real-world and NP-hard problems, and foundations of evolutionary computation algorithms to multi-objective optimization.\u003c\/p\u003e","brand":"Martin S. 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The contributions focus on topics such as agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.\u003c\/p\u003e","brand":"Sebastian Rodriguez","offers":[{"title":"Default Title","offer_id":53628170010951,"sku":"9783032180117","price":60.98,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/engineering-multi-agent-systems-ebook.webp?v=1775020116"},{"product_id":"distributed-data-services-zichen-xu-ebook","title":"Distributed Data Services","description":"\u003cp\u003e\"Chapter 1 Fundamentals of Distributed Systems\".- \"Chapter 2 Distributed Data Processing Language\"\u003cspan style=\"font-size: 0.875rem;\"\u003e.- \"Chapter 3 Distributed Query Processing\".- \"Chapter 4 Transaction Processing in a Distributed System\".- \"Chapter 5 Consistency of Distributed Data Services\".- \"Chapter 6 Case Study of Distributed Systems - GFS\".- \"Chapter 7 Go Language Fundamentals for Designing Distributed Systems\".- \"Chapter 8 Building a Strong Consistency Algorithm Library\".- \"\u003c\/span\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eChapter 9 Building a Strong Consistent Distributed Key-Value Storage System\"\u003c\/span\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e.- \"\u003c\/span\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eChapter 10 Optimized Design and Implementation of the Strong Consistency Algorithm Raft\u003c\/span\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e: \u003c\/span\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eMulti-Raft\".\u003c\/span\u003e\u003c\/p\u003e","brand":"Zichen Xu","offers":[{"title":"Default Title","offer_id":53628175712583,"sku":"9789819693924","price":192.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/distributed-data-services-ebook.webp?v=1775020611"},{"product_id":"deep-learning-for-object-detection-and-localization-abdussalam-elhanashi-ebook","title":"Deep Learning for Object Detection and Localization","description":"\u003cp\u003e\"1.Introduction to Object Detection and Localization\".- \"2.Image Processing and Preprocessing\".- \"3.Object Detection Algorithms\".- \"4.Understanding Localization\".- \"5.Applications of Object Detection and Localization\".- \"6.Deep Learning Frameworks for Object Detection\".- \"7.Training and Fine-Tuning Object Detection Models\".- \"8.Challenges of Object Detection and Localization\".- \"10.Conclusion and Summary\".\u003c\/p\u003e","brand":"Abdussalam Elhanashi","offers":[{"title":"Default Title","offer_id":53628184920391,"sku":"9789819548460","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/deep-learning-for-object-detection-and-localizatio-ebook.webp?v=1775021161"},{"product_id":"data-driven-waste-revolution-ebook","title":"Data-Driven Waste Revolution","description":"\u003cp\u003eIn today’s world, the concept of a circular economy has emerged as a vital solution to address pressing environmental concerns and foster sustainable development. At its core, the circular economy aims to minimize waste generation by keeping resources in use for as long as possible, thereby reducing the strain on natural ecosystems and promoting resource efficiency.\u003c\/p\u003e\n\u003cp\u003eOperations research and data science play a crucial role in implementing circular economy principles by bridging the gap between data generated from new technologies and decision-making processes.\u003c\/p\u003e\n\u003cp\u003eThis book serves as a comprehensive guide, illustrating how operations research and data science techniques can function as a decision support system, facilitating the optimal implementation of circular economy principles. With a particular focus on waste management, the book delves into various aspects such as recycling, reusing, and refurbishing, providing practical real-world applications and examples.\u003c\/p\u003e\n\u003cp\u003eBy blending theoretical frameworks with practical insights, the book empowers both professionals and researchers with the essential tools and knowledge to navigate the intricacies of sustainable waste management. It underscores the significance of operations research and data science in facilitating the optimal implementation of circular economy principles. 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Equity Across Demographic Groups for the Facility Location Problem.- Adaptive First- and Second-Order Algorithms\u003cbr\u003efor Large-Scale Machine Learning.- Second-Order Conditional Gradient Sliding.- Combinatorial Pure Exploration with Full-Bandit Feedback and Beyond: Solving Combinatorial Optimization Under Uncertainty with Limited Observation.\u003c\/p\u003e","brand":"Sanjeena Dang","offers":[{"title":"Default Title","offer_id":53628188033351,"sku":"9783032038449","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/data-science-and-optimization-ebook.webp?v=1775149769"},{"product_id":"data-science-and-machine-learning-ebook","title":"Data Science and Machine Learning","description":"\u003cp\u003eThis book constitutes the proceedings of the 22nd Australasian Conference on Data Science and Machine Learning, AusDM 2024, held in Melbourne, Victoria, Australia, during November 25–27, 2024.\u003c\/p\u003e\n\u003cp\u003eThe 19 full papers included in this book were carefully reviewed and selected from 47 submissions. They were organized in two topical tracks: Research Track; and Application Track.\u003c\/p\u003e","brand":"Thirunavukarasu Balasubramaniam","offers":[{"title":"Default Title","offer_id":53628188459335,"sku":"9789819568888","price":181.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/data-science-and-machine-learning-ebook.webp?v=1775021370"},{"product_id":"data-mining-competition-practices-kele-xu-ebook","title":"Data Mining Competition Practices","description":"\u003cp\u003eChapter 1: Introduction to Data Mining Competitions.- Chapter 2: Structured Data: Theoretical Part.- Chapter 3: Structured Data: Practical Part.- Chapter 4: Natural Language Processing: Theoretical Part.- Chapter 5: Natural Language Processing: Practical Part.- Chapter 6: Computer Vision (Image): Theoretical Part.- Chapter 7: Computer Vision (Image): Practical Part.- Chapter 8: Computer Vision (Video): Theoretical Part.- Chapter 9: Computer Vision (Video): Practical Part.- Chapter 10: Reinforcement Learning: Theoretical Part.- Chapter 11: Reinforcement Learning: Practical Part.\u003c\/p\u003e","brand":"Kele Xu","offers":[{"title":"Default Title","offer_id":53628190785863,"sku":"9789819534463","price":58.84,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/data-mining-competition-practices-ebook.webp?v=1775021445"},{"product_id":"data-management-technologies-and-applications-ebook","title":"Data Management Technologies and Applications","description":"\u003cp\u003eThis book constitutes the post publication proceedings of selected papers from the 13th International Conference on Data Management Technologies and Applications, DATA 2024, held in Dijon, France, during July 9–11, 2024.\u003c\/p\u003e\n\u003cp\u003eThe 11 full papers and 4 short papers included in this book were carefully reviewed and selected from 97 submissions. 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