Author:
Publisher:
ISBN:
Category : Health insurance
Languages : en
Pages : 26
Book Description
Data Summary
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
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
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.
Annual Data Summary for 1993, CERC Field Research Facility: Appendixes C through E
Author:
Publisher:
ISBN:
Category : Ocean waves
Languages : en
Pages : 98
Book Description
Publisher:
ISBN:
Category : Ocean waves
Languages : en
Pages : 98
Book Description