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Smart Systems For E-Health - Wban Technologies, Security And Applications

202,77€ + 10% CARD

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 The purpose of this book is to review the recent advances in E-health technologies and applications.
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Seriation In Combinatorial And Statistical Data Analysis

by Henri Leredde e Israel Cesar Lerman

184,84€ + 10% CARD

 This monograph offers an original broad and very diverse exploration of the seriation domain in data analysis, together with building a specific relation to clustering.<p>Relative to a data table crossing a set of objects and a set of descriptive attributes, the search for orders which correspond respectively to these two sets is formalized mathematically and statistically.</p><p>State-of-the-art methods are created and compared with classical methods and a thorough understanding of the mutual relationships between these methods is clearly expressed. The authors distinguish two families of methods:</p><p></p><ul><li>Geometric representation methods</li><li>Algorithmic and Combinatorial methods</li></ul><p></p><p>Original and accurate methods are provided in the framework for both families. Their basis and comparison is made on both theoretical and experimental levels. The experimental analysis is very varied and very comprehensive. <i>Seriation in Combinatorial and Statistical Data Analysis</i> has a unique character in the literature falling within the fields of Data Analysis, Data Mining and Knowledge Discovery. It will be a valuable resource for students and researchers in the latter fields.</p>
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Learning Cardiac Auscultation - From Essentials To Expert Clinical Interpretation

108,14€ + 10% CARD

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 The core content of this book describes the search for diagnostic clues within patientsâ€™ heart sounds and as such this book provides superb practical advice in the form of a series of clinical pearls reflecting what accurate diagnosis with auscultation can mean to patient prognosis and outcome.
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Water And Human Societies - Historical And Contemporary Perspectives

by David A. Pietz e Dorothy Zeisler-Vralsted

74,34€ + 10% CARD

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 This book explores the historical relationships between human communities and water. The foundational premise of the book is that in order to comprehend the complexity of global water challenges, we need to understand the history of cultural forces that have shaped our water practices.
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Data Science And Visual Computing

by David Kasik, John Dill e Rae Earnshaw

60,82€ + 10% CARD

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 Data science addresses the need to extract knowledge and information from data volumes, often from real-time sources in a wide variety of disciplines such as astronomy, bioinformatics, engineering, science, medicine, social science, business, and the humanities.
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Provenance In Data Science - From Data Models To Context-Aware Knowledge Graphs

171,59€ + 10% CARD

 <div>RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself.</div><div> </div><div>Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack mapsthat aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues.</div><div><br></div><div>This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.</div>
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Smart Systems For E-Health - Wban Technologies, Security And Applications

198,09€ + 10% CARD

 The purpose of this book is to review the recent advances in E-health technologies and applications.
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Artificial Intelligence In Economics And Finance Theories

by Tankiso Moloi e Tshilidzi Marwala

184,84€ + 10% CARD

 <p>As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificialintelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision.</p><p>The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for "the planner" to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.</p><br>
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Mining Software Engineering Data For Software Reuse

by Andreas L. Symeonidis e Themistoklis Diamantopoulos

116,60€ + 10% CARD

 <p>This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance.</p><p>The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data.</p><p>Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effortthrough software reuse. <i>Mining Software Engineering Data for Software Reuse</i> can also prove handy for graduate-level students in software engineering.</p><div><div><br></div><div><br></div></div>
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Data-Intensive Systems - Principles And Fundamentals Using Hadoop And Spark

by Tomasz Wiktorski

72,86€ + 10% CARD

 <div>Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape.</div><div><br></div><div>The material in the book is structured following a problem-based approach. This means that the content in the chapters is focused on developing solutions to simplified, but still realistic problems using data-intensive technologies and approaches. The reader follows one reference scenario through the whole book, that uses an open Apache dataset.</div><div><br></div><div>The origins of this volume are in lectures from a master’s course in Data-intensive Systems, given at the University of Stavanger. Some chapters were also a base for guest lectures at Purdue University and Lodz University of Technology.</div><div><br></div>
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Data Science And Visual Computing

by David Kasik, John Dill e Rae Earnshaw

59,61€ + 10% CARD

 Data science addresses the need to extract knowledge and information from data volumes, often from real-time sources in a wide variety of disciplines such as astronomy, bioinformatics, engineering, science, medicine, social science, business, and the humanities.
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Adaptive Resonance Theory In Social Media Data Clustering - Roles, Methodologies, And Applications

by Ah-Hwee Tan, Donald C. Wunsch Ii e Lei Meng

118,59€ + 10% CARD

 <p>Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data:</p><p></p><ul><li><i>Basic knowledge (data & challenges) on social media analytics<br></i></li><li><i>Clustering as a fundamental technique for unsupervised knowledge discovery and data mining<br></i></li><li><i>A class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering <br></i></li><li><i>Step-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domain</i><br></li></ul><p></p><p><i>Adaptive Resonance Theory in Social Media Data Clustering</i> stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction.</p><p>It presents initiatives on the mathematical demonstration of ART’s learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks.</p><p>Both cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you:<br></p><p></p><ul><li>How to process big streams of multimedia data?<br></li><li>How to analyze social networks with heterogeneous data?<br></li><li>How to understand a user’s interests by learning from online posts and behaviors?<br></li><li>How to create a personalized search engine by automatically indexing and searching multimodal information resources? <br></li></ul><p></p><p> </p>.<p></p><p> <br></p><br>
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Learning Representation For Multi-View Data Analysis - Models And Applications

by Handong Zhao, Yun Fu e Zhengming Ding

145,09€ + 10% CARD

 <p>This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal.</p>A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. <i>Learning Representation for Multi-View Data Analysis </i>covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.<p></p><p></p><p></p><p></p>
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Models Of Computation For Big Data

by Rajendra Akerkar

72,86€ + 10% CARD

 In many recent application situations, however, the size of the input data is too large to fit within memory.Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications.
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Hierarchical Feature Selection For Knowledge Discovery - Application Of Data Mining To The Biology Of Ageing

by Cen Wan

118,59€ + 10% CARD

 This book is the first work that systematically describes the procedure of data mining and knowledge discovery on Bioinformatics databases by using the state-of-the-art hierarchical feature selection algorithms.
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Atlas Of Postmortem Angiography

243,33€ + 10% CARD

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 This atlas of postmortem angiography provides a summary of techniques that have been developed and used in order to visualize the human vascular system.
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Learner-Centered Teaching Activities For Environmental And Sustainability Studies

74,34€ + 10% CARD

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 Having a diverse collection of learner-centeredteaching activities is especially useful for helping students develop theirenvironmental literacy because such approaches can help them connect morepersonally with the material thus increasing the chances for altering theaffective and behavioral dimensions of their environmental literacy.
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Data Mining For Social Robotics - Toward Autonomously Social Robots

by Toyoaki Nishida e Yasser Mohammad

121,66€ + 10% CARD

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 This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining.
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Artificial Intelligence And Economic Theory: Skynet In The Market

by Evan Hurwitz e Tshilidzi Marwala

171,59€ + 10% CARD

 <p>This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants.</p><p> </p><p><i></i></p>Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.
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Understanding Information - From The Big Bang To Big Data

118,59€ + 10% CARD

 <p>The motivation of this edited book is to generate an understanding about information, related concepts and the roles they play in the modern, technology permeated world. In order to achieve our goal, we observe how information is understood in domains, such as cosmology, physics, biology, neuroscience, computer science, artificial intelligence, the Internet, big data, information society, or philosophy. Together, these observations form an integrated view so that readers can better understand this exciting building-block of modern-day society.</p>On the surface, information is a relatively straightforward and intuitive concept. Underneath, however, information is a relatively versatile and mysterious entity. For instance, the way a physicist looks at information is not necessarily the same way as that of a biologist, a neuroscientist, a computer scientist, or a philosopher. Actually, when it comes to information, it is common that each field has its domain specific views, motivations, interpretations, definitions, methods, technologies, and challenges.<p></p><p>With contributions by authors from a wide range of backgrounds, <i>Understanding Information: From the Big Bang to Big Data</i> will appeal to readers interested in the impact of ‘information’ on modern-day life from a variety of perspectives.</p>
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Secure Information Management Using Linguistic Threshold Approach

by Marek R. Ogiela e Urszula Ogiela

60,82€ + 10% CARD

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 This book details linguistic threshold schemes for information sharing. It examines the opportunities of using these techniques to create new models of managing strategic information shared within a commercial organisation or a state institution.
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Natural And Artificial Reasoning - An Exploration Of Modelling Human Thinking

by Tom Addis

59,61€ + 10% CARD

 This is the principle puzzle explored in this book where ideas behind systems that behave intelligently are described and different philosophical issues are touched upon.The key to human behavior is taken to be intelligence and the ability to reason about the world.
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Artificial Intelligence Techniques For Rational Decision Making

by Tshilidzi Marwala

59,61€ + 10% CARD

 Artificial Intelligence Techniques for Rational Decision Making
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Information Systems Management In The Big Data Era

by Peter Lake e Robert Drake

59,61€ + 10% CARD

 This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. describes the key technologies involved in information systems in general and big data in particular, placing these technologies in an historic context;
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