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The development of modern information systems is a demanding task. New technologies and tools are designed, implemented and presented in the market on a daily bases. User needs change dramatically fast and the IT industry copes to reach the level of efficiency and adaptability for its systems in order to be competitive and up-to-date. Thus, the realization of modern information systems with great characteristics and functionalities implemented for specific areas of interest is a fact of our modern and demanding digital society and this is the main scope of this book. Therefore, this book aims to present a number of innovative and recently developed information systems. It is titled "Modern Information Systems" and includes 8 chapters. This book may assist researchers on studying the innovative functions of modern systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies of the information systems' development.
- Subjects:
- Environmental Sciences and Computing
- Keywords:
- Medical informatics Knowledge management Management information systems
- Resource Type:
- e-book
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e-book
Artificial intelligence (AI) is a potent buzzword and happening technology which has greatly impacted the lifestyle of every human being either directly or indirectly and is shaping the future of tomorrow. In fact, AI is fast becoming an intrinsic part of our daily life and is not confined to university research labs, even if remarkable progress has been made in this domain. The benefit of this phenomenon is widely recognized in diversified areas, ranging from medicine to security to consumer applications and business, and resulting in improvements in the quality of life of humankind. Every new disruptive technology has its own pros and cons and AI is no exception to this rule. Privacy, data protection, and the rights of individuals pose social and ethical challenges.
- Subjects:
- Computing
- Keywords:
- Artificial intelligence
- Resource Type:
- e-book
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e-book
The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners. The wide scope of the book provides a good introduction to many approaches of machine learning, and it is also the source of useful bibliographical information.
- Course related:
- COMP4432 Machine Learning
- Subjects:
- Computing
- Keywords:
- Machine learning
- Resource Type:
- e-book
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e-book
Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners.
- Course related:
- COMP4432 Machine Learning
- Subjects:
- Computing
- Keywords:
- Machine learning
- Resource Type:
- e-book
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e-book
This eBook is designed for learning customer relationship management. Each chapter includes some exercises, concept-check questions and challenge questions for learning the theories.
- Subjects:
- Marketing
- Keywords:
- Customer relations -- Management Marketing
- Resource Type:
- e-book
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e-book
This book presents the Scaling Management Framework, a model based on collected experiences from companies that have already made the journey to give software a central role within the organization. The model is unique because it suggests a holistic method to analyze and plan your journey. It simply means that you can’t just focus solely on your products or services. You also have to look closely at your processes and your organization, the way you make decisions and get things done. Inevitably, these will have to change. This book comes with a map, a compass, and suggested journeys along with selected travel stories comprising best practices and lessons learned from past digitalization journeys. Use the map to find your way in the digitalization landscape, and use the compass to find the direction of your journey. How do you transform your organization when software is becoming a critical part of your business? Software has changed the rules of the game. The world talks about the digitalization in industry and society – how the focus has shifted from producing tangible things towards software and services. This trend started many years ago, but is now affecting every company, whether it’s a software company or not. There are many companies that have already made a digitalization journey – and many are about to embark on this journey – like you.
- Subjects:
- Management
- Keywords:
- Software engineering Management information systems
- Resource Type:
- e-book
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e-book
Open access ebooks from Bloomsbury Collections
- Keywords:
- Social sciences Management Design Geography Business Linguistics Humanities Economics
- Resource Type:
- e-book
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e-book
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e-book
A multi-institutional collaborative venture to develop the next generation of open-access textbooks.
- Keywords:
- Economics Developmental psychology Psychology Social sciences Sociology
- Resource Type:
- e-book
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e-book
Offers openly licensed college textbooks.
- Keywords:
- Linguistics Literature World history Communication History English language
- Resource Type:
- e-book