Innovations in Classification, Data Science, and Information Systems

Innovations in Classification, Data Science, and Information Systems PDF Author: Daniel Baier
Publisher: Springer Science & Business Media
ISBN: 3540269819
Category : Language Arts & Disciplines
Languages : en
Pages : 620

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Book Description
The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

Innovation Through Information Systems

Innovation Through Information Systems PDF Author: Frederik Ahlemann
Publisher: Springer Nature
ISBN: 3030867978
Category : Computers
Languages : en
Pages : 786

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Book Description
This book presents the current state of research in information systems and digital transformation. Due to the global trend of digitalization and the impact of the Covid 19 pandemic, the need for innovative, high-quality research on information systems is higher than ever. In this context, the book covers a wide range of topics, such as digital innovation, business analytics, artificial intelligence, and IT strategy, which affect companies, individuals, and societies. This volume gathers the revised and peer-reviewed papers on the topic "Technology" presented at the International Conference on Information Systems, held at the University of Duisburg-Essen in 2021.

Intelligent Computing and Innovation on Data Science

Intelligent Computing and Innovation on Data Science PDF Author: Sheng-Lung Peng
Publisher: Springer Nature
ISBN: 9811631530
Category : Technology & Engineering
Languages : en
Pages : 590

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Book Description
This book gathers high-quality papers presented at 2nd International Conference on Technology Innovation and Data Sciences (ICTIDS 2021), organized by Lincoln University, Malaysia from 19 – 20 February 2021. It covers wide range of recent technologies like artificial intelligence and machine learning, big data and data sciences, Internet of Things (IoT), and IoT-based digital ecosystem. The book brings together works from researchers, scientists, engineers, scholars and students in the areas of engineering and technology, and provides an opportunity for the dissemination of original research results, new ideas, research and development, practical experiments, which concentrate on both theory and practices, for the benefit of common man.

Innovation in Information Systems and Technologies to Support Learning Research

Innovation in Information Systems and Technologies to Support Learning Research PDF Author: Mohammed Serrhini
Publisher: Springer Nature
ISBN: 3030367789
Category : Technology & Engineering
Languages : en
Pages : 659

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Book Description
This book provides glimpses into contemporary research in information systems & technology, learning, artificial intelligence (AI), machine learning, and security and how it applies to the real world, but the ideas presented also span the domains of telehealth, computer vision, the role and use of mobile devices, brain–computer interfaces, virtual reality, language and image processing and big data analytics and applications. Great research arises from asking pertinent research questions. This book reveals some of the authors’ “beautiful questions” and how they develop the subsequent “what if” and “how” questions, offering readers food for thought and whetting their appetite for further research by the same authors.

Decision-making Tools to Support Innovation

Decision-making Tools to Support Innovation PDF Author: Manon Enjolras
Publisher: John Wiley & Sons
ISBN: 1394228988
Category : Technology & Engineering
Languages : en
Pages : 276

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Book Description
Scientific thinking concerning the way in which we drive innovation has been widely developed in recent years. It is known that the process of innovation consists of a succession of decision-making processes that require simultaneous technical, economical, organizational and sustainable compromises. Indeed, all innovative activities in business require stakeholders to seek out the best compromise between various, often contradictory dimensions of the same problems. Through studying practical cases from various fields (e.g. energy, marketing and sustainable development), this book addresses all the stages of the innovation process, highlighting some of the main decisions that can be faced by organizations. Based on the historical research conducted at the ERPI Laboratory (University of Lorraine) in Nancy, France, this book presents six innovation practices: strategy, creativity, design, project management, human resources and capitalization of knowledge. These practices are then illustrated through examples of decision support methods' applications.

Industry 4.0 Value Roadmap

Industry 4.0 Value Roadmap PDF Author: Tuğrul U. Daim
Publisher: Springer Nature
ISBN: 3030300668
Category : Social Science
Languages : en
Pages : 123

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Book Description
Industry 4.0 has altered as well as disrupted the business model of organizations around the world. The adoption however, has been slow in the various industries as a clear roadmap for the integration of the same lacks in project planning. This brief fills this gap as it examines the development of a Value Roadmap for different industries using Industry 4.0 as an enabler. Using the automotive, healthcare and telecommunication industries as case studies, the authors create the value roadmap using five factors: market drivers, product features, technology features, enablers and resources. This framework integrates both technology and market knowledge to support strategy development, innovation and operational processes in organizations.

AI, IoT, and Blockchain Breakthroughs in E-Governance

AI, IoT, and Blockchain Breakthroughs in E-Governance PDF Author: Saini, Kavita
Publisher: IGI Global
ISBN: 1668476983
Category : Political Science
Languages : en
Pages : 261

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Book Description
There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying problems before they occur. The government can also use AI to easily automate processes and replace mundane and repetitive tasks. AI, IoT, and Blockchain Breakthroughs in E-Governance defines and emphasizes various AI algorithms as well as new internet of things and blockchain breakthroughs in the field of e-governance. Covering key topics such as machine learning, government, and artificial intelligence, this premier reference source is ideal for government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.

Proceedings of World Conference on Information Systems for Business Management

Proceedings of World Conference on Information Systems for Business Management PDF Author: Andres Iglesias
Publisher: Springer Nature
ISBN: 9819983495
Category :
Languages : en
Pages : 524

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Book Description


Encyclopedia of Data Science and Machine Learning

Encyclopedia of Data Science and Machine Learning PDF Author: Wang, John
Publisher: IGI Global
ISBN: 1799892212
Category : Computers
Languages : en
Pages : 3296

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Book Description
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Data Management, Analytics and Innovation

Data Management, Analytics and Innovation PDF Author: Neha Sharma
Publisher: Springer Nature
ISBN: 9811393648
Category : Technology & Engineering
Languages : en
Pages : 494

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Book Description
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.