Big Data Analytics For Human Centric Systems

Download Big Data Analytics For Human Centric Systems full books in PDF, epub, and Kindle. Read online Big Data Analytics For Human Centric Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Human-Centered Data Science

Author : Cecilia Aragon
Publisher : MIT Press
ISBN 13 : 0262367599
Total Pages : 201 pages
Book Rating : 4.2/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Human-Centered Data Science by : Cecilia Aragon

Download or read book Human-Centered Data Science written by Cecilia Aragon and published by MIT Press. This book was released on 2022-03-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.

Big Data Analytics for Sensor-Network Collected Intelligence

Author : Hui-Huang Hsu
Publisher : Morgan Kaufmann
ISBN 13 : 012809625X
Total Pages : 328 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics for Sensor-Network Collected Intelligence by : Hui-Huang Hsu

Download or read book Big Data Analytics for Sensor-Network Collected Intelligence written by Hui-Huang Hsu and published by Morgan Kaufmann. This book was released on 2017-02-02 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Contains contributions from noted scholars in computer science and electrical engineering from around the globe Provides a broad overview of recent developments in sensor collected intelligence Edited by a team comprised of leading thinkers in big data analytics

Embracing Complexity in Health

Author : Joachim P. Sturmberg
Publisher : Springer
ISBN 13 : 9783030109394
Total Pages : 335 pages
Book Rating : 4.1/5 (93 download)

DOWNLOAD NOW!

Book Synopsis Embracing Complexity in Health by : Joachim P. Sturmberg

Download or read book Embracing Complexity in Health written by Joachim P. Sturmberg and published by Springer. This book was released on 2019-05-27 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed volume illustrates the transformative nature of systems and complexity sciences for practice, research, education, and health system organization. Researchers highlight the fresh perspectives and novel approaches offered by these interdisciplinary fields in addressing the complexities of global, national, and community health challenges in the 21st century. With the implications that these emerging fields hold for health still relatively underexplored, researchers from a wide variety of disciplines, including physiological, social, environmental, clinical, prevention, educational, organizational, finance, and policy domains, aim in this book to suggest future directions in health care and highlight recent advances in basic and clinical physiology, education, policy-making, and leadership. Among the topics discussed: Impact of genomic heterogeneity on bio-emergent properties Harnessing Big Data to improve health services Decision-making of women in violent relationships Co-producing healthcare interventions A socio-ecological solution to physician burnout Embracing Complexity in Health: The Transformation of Science, Practice, and Policy is a highly relevant resource to practitioners in the field, students, instructors, and policy makers, and also should find an engaged audience among health and disease researchers, healthcare planners, health system financiers, health system administrators, health services administrators, health professional educators, and other health professionals. The trans- and interdisciplinary natures of health and health care are fostering a broad discourse amongst all concerned with improving patient care in an equitable and sustainable way.

Big Data Analytics for Human-Computer Interactions: A New Era of Computation

Author : Kuldeep Singh Kaswan
Publisher : Bentham Science Publishers
ISBN 13 : 9815079948
Total Pages : 392 pages
Book Rating : 4.8/5 (15 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics for Human-Computer Interactions: A New Era of Computation by : Kuldeep Singh Kaswan

Download or read book Big Data Analytics for Human-Computer Interactions: A New Era of Computation written by Kuldeep Singh Kaswan and published by Bentham Science Publishers. This book was released on 2023-08-28 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Working on HCI projects requires specific skill sets to implement IT solutions. Big Data Analytics for Human-Computer Interactions: A New Era of Computation is a comprehensive guide that discusses the evolution of Big Data in Human Computer Interaction from promise to reality. This book provides an introduction to Big Data and HCI, followed by an overview of the state-of-the-art algorithms for processing big data, Subsequent chapters also explain the characteristics, applications, opportunities and challenges of big data systems, by describing theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in designing HIC systems. The book also presents solutions for analyzing complex patterns in user data and improving productivity. Readers will be able to understand the technology that drives big data solutions in HCI projects and understand its capacity in transforming an organization. The book also helps the reader to understand HCI system design and explains how to evaluate an application portfolio that can be used when selecting pilot projects. This book is a resource for researchers, students, and professionals interested in the fields of HCI, artificial intelligence, data analytics, and computer engineering.

Human Centred Intelligent Systems

Author : Alfred Zimmermann
Publisher : Springer Nature
ISBN 13 : 981193455X
Total Pages : 252 pages
Book Rating : 4.8/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Human Centred Intelligent Systems by : Alfred Zimmermann

Download or read book Human Centred Intelligent Systems written by Alfred Zimmermann and published by Springer Nature. This book was released on 2022-06-15 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2022 (KES HCIS 2022), held in Rhodes, Greece on June 20–22, 2022. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.

Human-Centered AI

Author : Ben Shneiderman
Publisher : Oxford University Press
ISBN 13 : 0192845292
Total Pages : 390 pages
Book Rating : 4.1/5 (928 download)

DOWNLOAD NOW!

Book Synopsis Human-Centered AI by : Ben Shneiderman

Download or read book Human-Centered AI written by Ben Shneiderman and published by Oxford University Press. This book was released on 2022 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

Radically Human

Author : Paul Daugherty
Publisher : Harvard Business Press
ISBN 13 : 1647821096
Total Pages : 152 pages
Book Rating : 4.6/5 (478 download)

DOWNLOAD NOW!

Book Synopsis Radically Human by : Paul Daugherty

Download or read book Radically Human written by Paul Daugherty and published by Harvard Business Press. This book was released on 2022-04-26 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.

The Human Element of Big Data

Author : Geetam S. Tomar
Publisher : CRC Press
ISBN 13 : 1315351072
Total Pages : 309 pages
Book Rating : 4.3/5 (153 download)

DOWNLOAD NOW!

Book Synopsis The Human Element of Big Data by : Geetam S. Tomar

Download or read book The Human Element of Big Data written by Geetam S. Tomar and published by CRC Press. This book was released on 2016-10-26 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.

Human Centred Intelligent Systems

Author : Alfred Zimmermann
Publisher : Springer Nature
ISBN 13 : 9811557845
Total Pages : 438 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Human Centred Intelligent Systems by : Alfred Zimmermann

Download or read book Human Centred Intelligent Systems written by Alfred Zimmermann and published by Springer Nature. This book was released on 2020-05-29 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems. All papers were originally presented at the International KES Conference on Human Centred Intelligent Systems 2020 (KES HCIS 2020), held on June 17–19, 2020, in Split, Croatia.

Human-Centered Data Science

Author : Cecilia Aragon
Publisher : MIT Press
ISBN 13 : 0262543214
Total Pages : 201 pages
Book Rating : 4.2/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Human-Centered Data Science by : Cecilia Aragon

Big Data Analytics

Author : Arun K. Somani
Publisher : CRC Press
ISBN 13 : 1315391244
Total Pages : 484 pages
Book Rating : 4.3/5 (153 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics by : Arun K. Somani

Download or read book Big Data Analytics written by Arun K. Somani and published by CRC Press. This book was released on 2017-10-30 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Intelligent Data Analysis for Biomedical Applications

Author : Hemanth D. Jude
Publisher : Academic Press
ISBN 13 : 0128156430
Total Pages : 294 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Data Analysis for Biomedical Applications by : Hemanth D. Jude

Download or read book Intelligent Data Analysis for Biomedical Applications written by Hemanth D. Jude and published by Academic Press. This book was released on 2019-03-15 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Addresses the integration of intelligent data analysis techniques within biomedical information systems

Social Sensing

Author : Dong Wang
Publisher : Morgan Kaufmann
ISBN 13 : 0128011319
Total Pages : 232 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Social Sensing by : Dong Wang

Download or read book Social Sensing written by Dong Wang and published by Morgan Kaufmann. This book was released on 2015-04-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book

Big Data Analytics: Systems, Algorithms, Applications

Author : C.S.R. Prabhu
Publisher : Springer Nature
ISBN 13 : 9811500940
Total Pages : 412 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics: Systems, Algorithms, Applications by : C.S.R. Prabhu

Download or read book Big Data Analytics: Systems, Algorithms, Applications written by C.S.R. Prabhu and published by Springer Nature. This book was released on 2019-10-14 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.

Big Data for Urban Sustainability

Author : Stephen Jia Wang
Publisher : Springer
ISBN 13 : 3319736108
Total Pages : 169 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Big Data for Urban Sustainability by : Stephen Jia Wang

Download or read book Big Data for Urban Sustainability written by Stephen Jia Wang and published by Springer. This book was released on 2018-03-22 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment. The book first introduces key aspects of big data, cloud services, pervasive computing, and mobile technologies from a pragmatic design perspective, including sample open source firmware. Cloud services, mobile and embedded platforms, interfaces, operating system design methods, networking, and middleware are all considered. The authors then explore in detail the framework, design principles, architecture and key components of developing energy systems to support sustainable urban environments. The included case study provides a pathway to improve the eco-efficiency of urban transport, demonstrating how to design an energy efficient next generation urban navigation system by leveraging vast cloud data sets on user-behavior. Ultimately, this resource maps big data’s pivotal intersection with rapid global urbanization along the path to a sustainable future.

Data Science and Big Data: An Environment of Computational Intelligence

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319534742
Total Pages : 303 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Data Science and Big Data: An Environment of Computational Intelligence by : Witold Pedrycz

Download or read book Data Science and Big Data: An Environment of Computational Intelligence written by Witold Pedrycz and published by Springer. This book was released on 2017-03-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Big Data Analytics for Cyber-Physical System in Smart City

Author : Mohammed Atiquzzaman
Publisher : Springer Nature
ISBN 13 : 9811525684
Total Pages : 2049 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics for Cyber-Physical System in Smart City by : Mohammed Atiquzzaman

Download or read book Big Data Analytics for Cyber-Physical System in Smart City written by Mohammed Atiquzzaman and published by Springer Nature. This book was released on 2020-01-11 with total page 2049 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.