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1000 tulosta hakusanalla Big Boot Books

Big Data and Internet of Things in the Management of Chronic Diseases
"Big Data and the Internet of Things in the Management of Chronic Diseases" discusses the possibilities brought on by new technologies that help provide more personalized medicine. For example, data collected by sensors and wearable devices that is combined with genetics and clinical information allows patients to be more aware of their conditions and avoid unnecessary costs for health systems. This book encompasses topics such as principles of self-management, big data processing and analyses, decision support making, and continuous monitoring of health conditions. Additionally, it brings the emerging and future trends in personalized medicine using connected databases. Bringing together updated technical knowledge and a translational view to healthcare, the book is a valuable resource for members of medical professions, researchers in medical informatics and biomedical engineering, and workers of medical industry who are interested in learning about recent developments. Presents new trends in big data analysis and processing in healthcareBrings a vision for how new connected data technologies can improve biomedical research and practiceDiscusses emerging topics with didactic language, making it useful as a support for regular teaching or as a practical handbook
Big Data

Big Data

Morgan Kaufmann Publishers In
2016
nidottu
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.
Big Data Analytics for Sensor-Network Collected Intelligence
Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Big Mechanisms in Systems Biology

Big Mechanisms in Systems Biology

Bor-Sen Chen; Cheng-Wei Li

Academic Press Inc
2016
nidottu
Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies. Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal resource. This book addresses system immunity, regulation, infection, aging, evolution, and carcinogenesis, which are complicated biological systems with inconsistent findings in existing resources. These inconsistencies may reflect the underlying biology time-varying systems and signal transduction events that are often context-dependent, which raises a significant problem for mechanistic modeling since it is not clear which genes/proteins to include in models or experimental measurements. The book is a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in an in-depth understanding on how to process and apply great amounts of biological data to improve research.
Big Data Application in Power Systems

Big Data Application in Power Systems

Elsevier Science Publishing Co Inc
2017
nidottu
Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids.
Big Data and Smart Service Systems

Big Data and Smart Service Systems

Xiwei Liu; Rangachari Anand; Gang Xiong; Xiuqin Shang; Xiaoming Liu

Academic Press Inc
2016
sidottu
Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.
Big Data Analytics for Intelligent Healthcare Management
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data.
Big Data Mining for Climate Change

Big Data Mining for Climate Change

Zhihua Zhang; Jianping Li

Elsevier Science Publishing Co Inc
2019
nidottu
Climate change mechanisms, impacts, risks, mitigation, adaption, and governance are widely recognized as the biggest, most interconnected problem facing humanity. Big Data Mining for Climate Change addresses one of the fundamental issues facing scientists of climate or the environment: how to manage the vast amount of information available and analyse it. The resulting integrated and interdisciplinary big data mining approaches are emerging, partially with the help of the United Nation’s big data climate challenge, some of which are recommended widely as new approaches for climate change research. Big Data Mining for Climate Change delivers a rich understanding of climate-related big data techniques and highlights how to navigate huge amount of climate data and resources available using big data applications. It guides future directions and will boom big-data-driven researches on modeling, diagnosing and predicting climate change and mitigating related impacts. This book mainly focuses on climate network models, deep learning techniques for climate dynamics, automated feature extraction of climate variability, and sparsification of big climate data. It also includes a revelatory exploration of big-data-driven low-carbon economy and management. Its content provides cutting-edge knowledge for scientists and advanced students studying climate change from various disciplines, including atmospheric, oceanic and environmental sciences; geography, ecology, energy, economics, management, engineering, and public policy.
Big Data in Astronomy

Big Data in Astronomy

Elsevier Science Publishing Co Inc
2020
nidottu
Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods and techniques for radio astronomy. Providing examples from such projects as the Square Kilometer Array (SKA), the world’s largest radio telescope that generates over an Exabyte of data every day, the book offers solutions for coping with the challenges and opportunities presented by the exponential growth of astronomical data. Presenting state-of-the-art results and research, this book is a timely reference for both practitioners and researchers working in radio astronomy, as well as students looking for a basic understanding of big data in astronomy.
Big Data in Psychiatry and Neurology
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level.
Big Data's Threat to Liberty

Big Data's Threat to Liberty

Henrik Skaug Saetra

Academic Press Inc
2021
nidottu
Big Data permeates all aspects of modern life, and while there is no shortage of potential benefits resulting from this, author Henrik Skaug Sætra argues that we must also understand the threats Big Data poses to liberty. The issues discussed in Big Data’s Threat to Liberty: Surveillance, Nudging, and the Curation of Information are related to how we are constantly under surveillance. Data is gathered from our homes, our cars, our smartphones, various devices around the house, and public sources such as facial recognition enabled camera surveillance and various websites and social networks. Furthermore, the information gathered is used to influence our actions. Detailed personality profiles are utilized in order to make us purchase products and services, or pay our taxes, through tailor-made nudges aimed at irrational and subconscious mechanisms, and delivered with a level of precision only possible with Big Data-driven algorithmic curation of data. Finally, the information we receive through various media is curated by algorithms, and even people are curated in order to satisfy our desires. By providing us with what the algorithm believes we want, we are spared from the exposure of unpleasant information, and even unpleasant people. The ideological landscapes we traverse are thus characterized by conformity, and a concomitant tyranny of popular opinion becomes ever more coercive as this occurs. The question is: How does being constantly watched, manipulated, and having our world-views shaped as just described affect our freedom? In this book it is argued that Big Data’s threat to individual liberty is routinely misunderstood and underappreciated due to (a) vagueness resulting from the concept of liberty being used without it being defined, or (b) the use of definitions based on flawed understandings of what liberty is. In this new and unique contribution to the ethics of Big Data and artificial intelligence, both these challenges are thoroughly addressed.
Big English 3 Student Book

Big English 3 Student Book

Mario Herrera; Christopher Sol Cruz

Pearson Education (US)
2013
nidottu
Share in your students' success. Watch them excel in English. BIG ENGLISH prepares students for the challenges they will find in today's world: CLIL: because students are learning English and so much more 21st Century Skills: because students want to get ahead and need to be prepared for the world around them Assessment for Learning: because confidence leads to success Think Big! Dream Big! BIG ENGLISH! www.PearsonELT.com/BigEnglish
Big Fun 1 Student Book with CD-ROM

Big Fun 1 Student Book with CD-ROM

PEARSON

Pearson Education (US)
2014
muu
Big Fun is a three-level pre-primary course for children ages 3-5. Big Fun teaches young children English — in the same way they learn their native language — by making sure they listen, imitate, repeat, and begin to speak on their own. Starting with basic vocabulary and target language, children learn English in the context of eight
Big Ideas of Early Mathematics

Big Ideas of Early Mathematics

The Early Math Collaborative- Erikson Institute

Pearson
2013
muu
Note: This is the bound book only and does not include access to the Enhanced Pearson eText. To order the Enhanced Pearson eText packaged with a bound book, use ISBN 0133548635. In this unique guide, classroom teachers, coaches, curriculum coordinators, college students, and teacher educators get a practical look at the foundational concepts and skills of early mathematics, and see how to implement them in their early childhood classrooms. Big Ideas of Early Mathematics presents the skills educators need to organize for mathematics teaching and learning during the early years. For teachers of children ages three through six, the book provides foundations for further mathematics learning and helps facilitate long-term mathematical understanding. The Enhanced Pearson eText features embedded video. Improve mastery and retention with the Enhanced Pearson eText*The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content. The Enhanced Pearson eText is: Engaging. The new interactive, multimedia learning features were developed by the authors and other subject-matter experts to deepen and enrich the learning experience. Convenient. Enjoy instant online access from your computer or download the Pearson eText App to read on or offline on your iPad (R) and Android (R) tablet.* Affordable. Experience the advantages of the Enhanced Pearson eText for 40-65% less than a print bound book. *The Enhanced eText features are only available in the Pearson eText format. They are not available in third-party eTexts or downloads. *The Pearson eText App is available on Google Play and in the App Store. It requires Android OS 3.1-4, a 7" or 10" tablet, or iPad iOS 5.0 or later.
Big English 4 Student Book

Big English 4 Student Book

Mario Herrera; Christopher Sol Cruz

Pearson Education (US)
2013
nidottu
Share in your students' success. Watch them excel in English. BIG ENGLISH prepares students for the challenges they will find in today's world: CLIL: because students are learning English and so much more 21st Century Skills: because students want to get ahead and need to be prepared for the world around them Assessment for Learning: because confidence leads to success Think Big! Dream Big! BIG ENGLISH! www.PearsonELT.com/BigEnglish
Big English 5 Student Book

Big English 5 Student Book

Mario Herrera; Christopher Sol Cruz

Pearson Education (US)
2013
nidottu
Share in your students' success. Watch them excel in English. BIG ENGLISH prepares students for the challenges they will find in today's world: CLIL: because students are learning English and so much more 21st Century Skills: because students want to get ahead and need to be prepared for the world around them Assessment for Learning: because confidence leads to success Think Big! Dream Big! BIG ENGLISH! www.PearsonELT.com/BigEnglish
Big English 6 Student Book

Big English 6 Student Book

Mario Herrera; Christopher Sol Cruz

Pearson Education (US)
2013
nidottu
Share in your students' success. Watch them excel in English. BIG ENGLISH prepares students for the challenges they will find in today's world: CLIL: because students are learning English and so much more 21st Century Skills: because students want to get ahead and need to be prepared for the world around them Assessment for Learning: because confidence leads to success Think Big! Dream Big! BIG ENGLISH! www.PearsonELT.com/BigEnglish