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R for Programmers: Mastering the Tools
by Dan ZhangUnlike other books about R, written from the perspective of statistics, this book is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four parts: the basics of R, the server of R, databases and big data, and the appendices, which introduce the installation of Java, various databases, and Hadoop. Because this is a reference book, there is no special sequence for reading all the chapters. Anyone new to the subject who wishes to master R comprehensively can simply follow the chapters in sequence.
Start Programming Using HTML, CSS, and JavaScript (Chapman & Hall/CRC Textbooks in Computing #17)
by Iztok FajfarThis text is a manual for undergraduate students in engineering and the natural sciences to discover how computer programming works. Using a dialog format between two students and a professor, the text teaches students how the mainstream web languages HTML, CSS, and JavaScript interact and how to harness their capabilities in practical settings. Each chapter focuses on a specific theme supported by a gradual development of engaging worked examples of live web documents and applications using the three languages.
A Beginner’s Guide to Informatics and Artificial Intelligence: A Short Course Towards Practical Problem Solving
by Wei WengEmbark on a transformative learning journey with this book, a concise and engaging short course for those taking their first steps into the realms of information science and AI. Ideal for undergraduates, graduates, and professionals, this book lays a sturdy foundation upon which readers can build whether their aim is to undertake research projects, pursue a career in technology, or simply understand the workings of the digital age.The learning objectives are:* Foundational understanding: Build a sturdy foundation by introducing basic concepts and gradually progressing to advanced topics.* Practical problem-solving: Foster the ability to solve real-world problems through guided exercises and application-oriented learning.* Holistic knowledge: Provide a holistic understanding of information science and AI, empowering learners to contribute meaningfully to the future of these disciplines.The key features are:* Comprehensive coverage: Explore computer science basics to advanced AI techniques for a holistic understanding of the field.* Engaging writing style: Complex concepts made approachable for beginners without sacrificing depth.* Bridging theory with application: Real-world scenarios illustrate and encourage practical applications.* Practical exercises: Guided hands-on exercises develop problem-solving skills, ensuring a practical understanding of the material.* Enriched learning experience: Vivid examples, flowcharts, and interactive elements bring concepts to life. E-lectures of the book "Informatics and Artificial Intelligence for Beginners I & II" will be released on Springer Video soon to further enhance the learning experience.
TCP, UDP und QUIC Internals: Protokolle und Programmierung
by Peter MandlDas Lehrbuch vermittelt praxisbezogen wichtige Grundkonzepte der Datenkommunikation mit einem Fokus auf den wichtigsten Transportprotokollen des Internets und auf der Entwicklung verteilter Anwendungen. Besonders ausführlich betrachtet der Autor die Transportprotokolle TCP und UDP, aber auch das neue, ursprünglich von Google für die Webkommunikation mit HTTP/3 entwickelte und inzwischen standardisierte Protokoll QUIC wird in der 2. Auflage ausführlich und verständlich erläutert. Dabei werden auch die zugrundeliegenden Kommunikationskonzepte anschaulich beschrieben. Um die Vorteile von QUIC im Vergleich zu TCP zu verstehen, werden auch die Grundlagen des Transport Layer Security (TLS) Protokolls, das in QUIC nun bereits integriert ist, in der vorliegenden 2. Auflage eingeführt. Die Nutzung von Transportmechanismen in der Programmierung eigener Kommunikationsanwendungen über die Socket API wird ebenfalls mit vielen Beispielen vor allem in Java, aber auch grundlegend in C erläutert. Neben den wesentlichen Protokollmechanismen und Zusammenhängen der betrachteten Protokolle weist der Autor auf die Möglichkeiten der Protokolloptimierung hin. Dadurch wird das Buch zu einem praktischen Ratgeber, der jederzeit zur Konfiguration der komplexen Protokollimplementierungen in Universalbetriebssystemen wie Linux, Windows oder macOS herangezogen werden kann.Die komplexen Sachverhalte werden verständlich erklärt und helfen dabei, die konkreten Protokollimplementierungen besser zu nutzen. Der Schwerpunkt des Buches liegt auf den praktisch relevanten Themen, aber auch grundlegende Aspekte werden erläutert. Viele Bilder veranschaulichen die Protokollmechanismen. Eine Sammlung von Kontrollfragen inklusive Musterlösungen erleichtert die Nachbearbeitung des Stoffes. Komplettiert wird das Buch durch umfangreiches Online-Zusatzmaterial. Lehrende können darüber hinaus auf Anfrage Präsentationsfolien zu den behandelten Themen beziehen.Das Buch richtet sich an Studierende der Informatik und Wirtschaftsinformatik sowie anderer Fachrichtungen mit Schwerpunkt Informationsverarbeitung und an Praktiker*innen wie Softwareentwickler*innen und Netzwerkadministrator*innen.Der Inhalt• Einführung in die Grundbegriffe der Datenkommunikation• Grundkonzepte der Transportschicht• Transportprotokolle TCP, UDP und QUIC• Einführung in das Transport Layer Security (TLS) Protokoll• Programmierung von Socket-Anwendungen
From Unimodal to Multimodal Machine Learning: An Overview (SpringerBriefs in Computer Science)
by Blaž ŠkrljWith the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly relevant. Deep learning-based approaches have made significant progress in learning from texts and images in recent years. These methods enable simultaneous learning from different types of representations (embeddings). Substantial advancements have also been made in joint learning from different types of spaces. Additionally, other modalities such as sound, physical signals from the environment, and time series-based data have been recently explored. Multimodal machine learning, which involves processing and learning from data across multiple modalities, has opened up new possibilities in a wide range of applications, including speech recognition, natural language processing, and image recognition.From Unimodal to Multimodal Machine Learning: An Overview gradually introduces the concept of multimodal machine learning, providing readers with the necessary background to understand this type of learning and its implications. Key methods representative of different modalities are described in more detail, aiming to offer an understanding of the peculiarities of various types of data and how multimodal approaches tend to address them (although not yet in some cases). The book examines the implications of multimodal learning in other domains and presents alternative approaches that offer computationally simpler yet still applicable solutions. The final part of the book focuses on intriguing open research problems, making it useful for practitioners who wish to better understand the limitations of existing methods and explore potential research avenues to overcome them
Smart Transportation and Green Mobility Safety: Green Mobility (Lecture Notes in Electrical Engineering #1181)
by Wuhong Wang Lisheng Jin Haiqiu TanThis book gathers selected papers from the 13th International Conference on Green Intelligent Transportation Systems and Safety, held in Qinghuadao, China, on September 16-18, 2022. It presents cutting-edge studies on Green Intelligent Mobility Systems, with the guiding motto being to achieve "green, intelligent, and safe transportation systems". The book presented here helps promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility, and efficiency. Given its scope, the book benefits researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike. Readers will be able to learn about the advances in green intelligent transportation systems and safety.
Learning Technology for Education Challenges: 12th International Workshop, LTEC 2024, Kaohsiung, Taiwan, July 29 – August 1, 2024, Proceedings (Communications in Computer and Information Science #2082)
by Lorna Uden Dario LiberonaThis book constitutes the refereed proceedings of the 12th International Conference on Learning Technology for Education Challenges, LTEC 2024, held in Kaohsiung, Taiwan, during July 29–August 1, 2024. The 26 full papers included in this book were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows: serious games and virtual learning environments; learning practices and methodologies; learning technologies; learning processes and culture; e-learning and performance, and artificial intelligence and learning.
Design Science Research for a Resilient Future: 19th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2024, Trollhättan, Sweden, June 3–5, 2024, Proceedings (Lecture Notes in Computer Science #14621)
by Tuure Tuunanen Munir Mandviwalla Matthias SöllnerThis book constitutes the proceedings of the 19th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2024, which was held in Trollhättan, Sweden, during June 3–5, 2024. The 30 full papers presented in this book were carefully reviewed and selected from 69 submissions. The papers are divided into the following topical sections: DSR for a resilient world (theme track); general track; DSR methods and education; DSR in practice; and emerging topics in DSR.
The Business of Hacking: Creating, Developing, and Maintaining an Effective Penetration Testing Team
by Michael Butler Jacob G. OakleyThere is a plethora of literature on the topic of penetration testing, hacking, and related fields. These books are almost exclusively concerned with the technical execution of penetration testing and occasionally the thought process of the penetration tester themselves. There is little to no literature on the unique challenges presented by creating, developing, and managing a penetration testing team that is both effective and scalable. In addition, there is little to no literature on the subject of developing contractual client relationships, marketing, finding and developing talent, and how to drive penetration test execution to achieve client needs. This book changes all that.The Business of Hacking is a one-of-a-kind book detailing the lessons the authors learned while building penetrating testing teams from the ground up, making them profitable, and constructing management principles that ensure team scalability. You will discover both the challenges you face as you develop your team of offensive security professionals and an understanding of how to overcome them. You will gain an understanding of the client’s requirements, how to meet them, and how to surpass them to provide clients with a uniquely professional experience. The authors have spent combined decades working in various aspects of cybersecurity with a focus on offensive cybersecurity. Their experience spans military, government, and commercial industries with most of that time spent in senior leadership positions. What you’ll learn How to handle and ongoing develop client relationships in a high end industryTeam management and how the offensive security industry comes with its own unique challenges. Experience in other industries does not guarantee success in penetration testing.How to identify, understand, and over-deliver on client expectations.How to staff and develop talent within the team.Marketing opportunities and how to use the pentesting team as a wedge for upsell opportunities.The various structures of services available that they may present to their clients. Who This Book Is For This book is written for anyone curious who is interested in creating a penetration testing team or business. It is also relevant for anyone currently executing such a business and even for those simply participating in the business.
Knowledge Management in Organisations: 18th International Conference, KMO 2024, Kaohsiung, Taiwan, July 29 – August 1, 2024, Proceedings (Communications in Computer and Information Science #2152)
by Lorna Uden I-Hsien TingThis book constitutes the proceedings of the 18th International Conference on Knowledge management in Organizations, KMO 2024, which took place in Kaohsiung, Taiwan, during July 29–August 1, 2024 The 33 full papers were carefully reviewed and selected from 72 submissions. The papers are organized in subject areas as follows: Knowledge Transfer and Sharing; Knowledge in Business and Organisation; Innovation and Knowledge Creation; KM and Education; KM Process and Model; Information and Knowledge Management Systems; AI, IT and New Trends in KM; and Healthcare.
Artificial Intelligence for Everyone
by Christian PosthoffThis book demystifies the topic of Artificial Intelligence for readers of varying backgrounds. The content should enable many people to discuss and follow ongoing developments in an informed way, to draw conclusions for their own life and workplace and to acquire the necessary new knowledge. The book strives to provide basic knowledge that will objectify the discussions and relieve some of the creepiness of utopian films. It must also be understood that research results are a necessary condition for progress; they are not sufficient until they can be translated into practice embedded in programs. This difficult relationship between theory and practice has been known for a long time.
Writing and Managing SOPs for GCP
by Susanne ProkschaThis book discusses managing SOPs for GCP from conception to retirement. It recommends approaches that have a direct impact on improving SOP and regulatory compliance. Throughout the text, the book provides a user's point of view to keep topics focused on the practical aspects of SOPs and SOP management.
Driving Project, Program, and Portfolio Success: The Sustainability Wheel
by David Shirley Richard MaltzmanBusinesses appear to have not only bought into integrating sustainability into their business plans, but have started profiting from it. This book helps project, program, and portfolio managers to integrate sustainability thinking into their projects. It introduces a new tool called the Sustainability WheelTM that tells you where you are and what you need to improve. With this tool, you can determine priorities for sustainability improvement, validate that present sustainability efforts are within your organization's mission/vision, and provide a mechanism to integrate sustainability into everyday operations.
Risks of Artificial Intelligence
by Vincent C. MüllerFeaturing contributions from leading experts and thinkers in the theory of artificial intelligence (AI), this is one of the first books dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals. The book covers the latest AI research, including the risks and future impacts. Ethical issues in AI are covered extensively along with an exploration of autonomous technology and its impact on humanity.
Design Science Research Methods and Patterns: Innovating Information and Communication Technology, 2nd Edition
by Vijay K. Vaishnavi William KuechlerPresenting innovative research methods, this second edition of a bestseller describes a simple and practical methodology for conducting cutting-edge design science research (DSR). It provides comprehensive guidance on how to conduct such research and provides in-depth treatment of design science theory and the different types of theory that can be generated in design science research. Making novel use of the concept of patterns, it presents 84 research patterns for conducting effective DSR. It emphasizes design science theory throughout and is filled with practical examples of using patterns to conduct IT research.
PgMP Exam Challenge! (ESI International Project Management Series)
by Ginger Levin PMP PgMP J. LeRoy Ward PMP PgMPUp to date with the third edition of PMI's Program Management Standard, The PgMP Exam Challenge! contains more than 300 practice questions to help readers hone their knowledge and test their skills. It covers all five of the program management domains: Strategic Program Management, Program Management Life Cycle, Benefits Management, Stakeholder Management, and Governance. It also examines all of the sub domains of the lifecycle domain. With an easy-to-use format, this is an ideal resource for those preparing to take the PgMP exam.
Intelligent Cities: Enabling Tools and Technology
by Pethuru Raj Anupama C. RamanThe emergence of highly promising and potent technologies has enabled the transition of ordinary objects into smart artifacts-providing wider connectivity of digitized entities that can facilitate the building of connected cities. This book provides readers with a solid foundation on the latest technologies and tools required to develop and enhance smart cities around the world. The book begins by examining the rise of the cloud as the fundamental technology for establishing and sustaining smart cities and enterprises. Explaining the principal technologies and platform solutions for implementing intelligent cities, the book details the role of various technologies, standards, protocols, and tools in establishing flexible homes and the buildings of the future. Examines IT platforms and tools from various product vendors Considers service-oriented architecture and event-driven architecture for smart city applications Explains how to leverage big data analytics for smart city enhancement and improved decision making Includes case studies of intelligent cities, smart homes, buildings, transports, healthcare systems, and airports The authors explore the convergence of cloud computing and enterprise architecture and present valuable information on next-generation cloud computing. They also cover the various architectural types, including enterprise-scale integration, security, management, and governance. The book concludes by explaining the various security requirements of intelligent cities as well as the threats and vulnerabilities of the various components that form the basis of the intelligent city framework, including cloud, big data, Internet of Things, and mobile technologies.
Mobile Devices: Tools and Technologies
by Lauren Collins Scott R. EllisThis book provides readers at all levels of technical expertise with an understanding of mobile device concepts, application development processes, networking and infrastructure, and security methods. In chapters contributed by engineers with extensive real-world experience in the mobile and wireless field, the book offers insights into the tools and technologies critical to evaluating and implementing mobile strategies. The contributors illustrate proven best practices and methodologies using real-world case studies drawn from their extensive experiences with mobile software and infrastructures for enterprise customers.
Building an Enterprise-Wide Business Continuity Program
by Kelley OkolitaIf you had to evacuate from your building right now and were told you couldn't get back in for two weeks, would you know what to do to ensure your business continues to operate? Would your staff? Would every person who works for your organization? Increasing threats to business operations, both natural and man-made, mean a disaster could occur at any time. It is essential that corporations and institutions develop plans to ensure the preservation of business operations and the technology that supports them should risks become reality. Building an Enterprise-Wide Business Continuity Program goes beyond theory to provide planners with actual tools needed to build a continuity program in any enterprise. Drawing on over two decades of experience creating continuity plans and exercising them in real recoveries, including 9/11 and Hurricane Katrina, Master Business Continuity Planner, Kelley Okolita, provides guidance on each step of the process. She details how to validate the plan and supplies time-tested tips for keeping the plan action-ready over the course of time. Disasters can happen anywhere, anytime, and for any number of reasons. However, by proactively planning for such events, smart leaders can prepare their organizations to minimize tragic consequences and readily restore order with confidence in the face of such adversity.
Optimized Computational Intelligence Driven Decision-Making: Theory, Application and Challenges (Industry 5.0 Transformation Applications)
by Minakhi Rout S. Balamurugan Hrudaya Kumar Tripathy Sushruta Mishra Samaresh MishraThis book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts. Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains. includes real-life case studies highlighting different advanced technologies in computational intelligence; provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics; reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain; offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges; presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics; includes architectural models and applications-based augmented solutions for optimized computational intelligence. Audience The book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence.
Intelligent Techniques for Predictive Data Analytics
by Mohd Dilshad Ansari Shilpi Birla Neha Singh Neeraj Kumar ShuklaComprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Artificial Intelligence and Machine Learning in Drug Design and Development (Fintech in a Sustainable Digital Society)
by Manoj Kumar Anand Nayyar Abhirup Khanna May El Barachi Sapna JainThe book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
CISSP For Dummies
by Peter H. Gregory Lawrence C. MillerShowcase your security expertise with the highly regarded CISSP certification The CISSP certification, held by more than 150,000 security professionals worldwide, is the gold standard of cybersecurity certifications. The CISSP Exam certifies cybersecurity professionals and opens doors for career advancement. Fully updated and revised to reflect the 2024 ISC2 CISSP Exam Outline, CISSP For Dummies is packed with helpful content for all eight security domains. This book includes access to online study tools such as practice questions and digital flashcards, boosting your likelihood of success on the exam. Plus, you'll feel prepared and ready for test day thanks to a 60-day study plan. Boost your security career with this Dummies study guide. Review all the content covered in the latest CISSP Exam Test with confidence and achieve your certification as a cybersecurity professional Study smarter, thanks to online practice resources and a 60-day study plan Enhance your career with the in-demand CISSP certification Continue advancing your career and the profession through speaking and mentoring opportunities With up-to-date content and valuable test prep features, this book is a one-and-done resource for any cybersecurity professional studying for the CISSP exam.
Intelligent Techniques for Predictive Data Analytics
by Mohd Dilshad Ansari Shilpi Birla Neha Singh Neeraj Kumar ShuklaComprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Combinatorial Optimization: 8th International Symposium, ISCO 2024, La Laguna, Tenerife, Spain, May 22–24, 2024, Revised Selected Papers (Lecture Notes in Computer Science #14594)
by Amitabh Basu Ali Ridha Mahjoub Juan José Salazar GonzálezThis book constitutes the refereed proceedings of the 8th International Symposium on Combinatorial Optimization, ISCO 2024, held in La Laguna, Tenerife, Spain, during May 22–24, 2024. The 30 full papers included in this book were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: integer programming; graph theory; parameterized algorithms; approximation algorithms; integer programming for machine learning; and applications.