Author:
Publisher:
ISBN:
Category : Health insurance
Languages : en
Pages : 26
Book Description
Data Summary
Author:
Publisher:
ISBN:
Category : Health insurance
Languages : en
Pages : 26
Book Description
Publisher:
ISBN:
Category : Health insurance
Languages : en
Pages : 26
Book Description
UI Data Summary
Author:
Publisher:
ISBN:
Category : Unemployment insurance
Languages : en
Pages : 634
Book Description
Publisher:
ISBN:
Category : Unemployment insurance
Languages : en
Pages : 634
Book Description
Summary Report, Data from the National Drug Abuse Treatment Utilization Survey (NDATUS)
Author:
Publisher:
ISBN:
Category : Drug abuse
Languages : en
Pages : 82
Book Description
Publisher:
ISBN:
Category : Drug abuse
Languages : en
Pages : 82
Book Description
Annual Summary Report, Data from the Client Oriented Data Acquisition Process
Author:
Publisher:
ISBN:
Category : Drug abuse
Languages : en
Pages : 38
Book Description
Publisher:
ISBN:
Category : Drug abuse
Languages : en
Pages : 38
Book Description
The Use of Process Monitoring Data for Nuclear Material Accounting: Summary report
Author:
Publisher:
ISBN:
Category : Inventory control
Languages : en
Pages : 40
Book Description
Publisher:
ISBN:
Category : Inventory control
Languages : en
Pages : 40
Book Description
Annual Data Summary for ... CERC Field Research Facility
Author:
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 128
Book Description
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 128
Book Description
Los Angeles Harbor Pier 400 Long Wave Probability Analysis Data Summary
Author: James Rosati
Publisher:
ISBN:
Category : Harbors
Languages : en
Pages : 98
Book Description
Publisher:
ISBN:
Category : Harbors
Languages : en
Pages : 98
Book Description
Frontiers in Massive Data Analysis
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309287812
Category : Mathematics
Languages : en
Pages : 191
Book Description
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.
Publisher: National Academies Press
ISBN: 0309287812
Category : Mathematics
Languages : en
Pages : 191
Book Description
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.
Nuclear Casualty Data Summary
Author: Donald L. Summers
Publisher:
ISBN:
Category : Atomic bomb
Languages : en
Pages : 132
Book Description
Publisher:
ISBN:
Category : Atomic bomb
Languages : en
Pages : 132
Book Description
The Global Findex Database 2017
Author: Asli Demirguc-Kunt
Publisher: World Bank Publications
ISBN: 1464812683
Category : Business & Economics
Languages : en
Pages : 228
Book Description
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.
Publisher: World Bank Publications
ISBN: 1464812683
Category : Business & Economics
Languages : en
Pages : 228
Book Description
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.