The Science of Real-Time Data Capture

2007-04-19 Medical

Author : Arthur Stone
Release : 2007-04-19
Genre : Medical
Kind : eBook
Book Rating : 319/5 ( reviews)

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Book Synopsis The Science of Real-Time Data Capture by : Arthur Stone

Download or read book The Science of Real-Time Data Capture written by Arthur Stone. This book was released on 2007-04-19. Available in PDF, EPUB and Kindle. Book excerpt: The National Cancer Institute (NCI) has designated the topic of real-time data capture as an important and innovative research area. As such, the NCI sponsored a national meeting of distinguished research scientists to discuss the state of the science in this emerging and burgeoning field. This book reflects the findings of the conference and discusses the state of the science of real-time data capture and its application to health and cancer research. It provides a conceptual framework for minute-by-minute data capture- ecological momentary assessments (EMA)- and discusses health-related topics where these assessements have been applied. In addition, future directions in real-time data capture assessment, interventions, methodology, and technology are discussed. Despite the rapidly growing interest in the methodology of real-time data capture (e.g. journal special issues, widely attended conference presentations, etc.), to date no single book has focused solely on this topic. The volume will serve as an important resource for researchers, students, and government scientists interested in pursuing real-time health research, and will nicely complement our lists in epidemiology, public health, and oncology.

The Science of Real-time Data Capture

2023 Human experimentation in medicine

Author : Arthur A. Stone
Release : 2023
Genre : Human experimentation in medicine
Kind : eBook
Book Rating : 552/5 ( reviews)

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Book Synopsis The Science of Real-time Data Capture by : Arthur A. Stone

Download or read book The Science of Real-time Data Capture written by Arthur A. Stone. This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt: With contributions from top researchers, this text examines real-time data capture (RTDC) techniques in medical research. It discusses the concepts behind RTDC and how to implement it and analyse the resulting data.

A Study of Real-world, Real-time Data Capture and Analysis

1984

Author : M. Atiquzzaman
Release : 1984
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis A Study of Real-world, Real-time Data Capture and Analysis by : M. Atiquzzaman

Download or read book A Study of Real-world, Real-time Data Capture and Analysis written by M. Atiquzzaman. This book was released on 1984. Available in PDF, EPUB and Kindle. Book excerpt:

Frontiers in Massive Data Analysis

2013-09-03 Mathematics

Author : National Research Council
Release : 2013-09-03
Genre : Mathematics
Kind : eBook
Book Rating : 812/5 ( reviews)

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Book Synopsis Frontiers in Massive Data Analysis by : National Research Council

Download or read book Frontiers in Massive Data Analysis written by National Research Council. This book was released on 2013-09-03. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.

Streaming Data

2017-05-31 Computers

Author : Andrew Psaltis
Release : 2017-05-31
Genre : Computers
Kind : eBook
Book Rating : 242/5 ( reviews)

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Book Synopsis Streaming Data by : Andrew Psaltis

Download or read book Streaming Data written by Andrew Psaltis. This book was released on 2017-05-31. Available in PDF, EPUB and Kindle. Book excerpt: Summary Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them. About the Book Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details. What's Inside The right way to collect real-time data Architecting a streaming pipeline Analyzing the data Which technologies to use and when About the Reader Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required. About the Author Andrew Psaltis is a software engineer focused on massively scalable real-time analytics. Table of Contents PART 1 - A NEW HOLISTIC APPROACH Introducing streaming data Getting data from clients: data ingestion Transporting the data from collection tier: decoupling the data pipeline Analyzing streaming data Algorithms for data analysis Storing the analyzed or collected data Making the data available Consumer device capabilities and limitations accessing the data PART 2 - TAKING IT REAL WORLD Analyzing Meetup RSVPs in real time

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The Science of Real-Time Data Capture

The Science of Real-time Data Capture

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