Knowledge discovery: Extracting usable information from large amounts of data

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Description

The threat of nuclear weapons proliferation is a problem of world wide concern. Safeguards are the key to nuclear nonproliferation and data is the key to safeguards. The safeguards community has access to a huge and steadily growing volume of data. The advantages of this data rich environment are obvious, there is a great deal of information which can be utilized. The challenge is to effectively apply proven and developing technologies to find and extract usable information from that data. That information must then be assessed and evaluated to produce the knowledge needed for crucial decision making. Efficient and effective ... continued below

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8 p.

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Whiteson, R. December 31, 1998.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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Description

The threat of nuclear weapons proliferation is a problem of world wide concern. Safeguards are the key to nuclear nonproliferation and data is the key to safeguards. The safeguards community has access to a huge and steadily growing volume of data. The advantages of this data rich environment are obvious, there is a great deal of information which can be utilized. The challenge is to effectively apply proven and developing technologies to find and extract usable information from that data. That information must then be assessed and evaluated to produce the knowledge needed for crucial decision making. Efficient and effective analysis of safeguards data will depend on utilizing technologies to interpret the large, heterogeneous data sets that are available from diverse sources. With an order-of-magnitude increase in the amount of data from a wide variety of technical, textual, and historical sources there is a vital need to apply advanced computer technologies to support all-source analysis. There are techniques of data warehousing, data mining, and data analysis that can provide analysts with tools that will expedite their extracting useable information from the huge amounts of data to which they have access. Computerized tools can aid analysts by integrating heterogeneous data, evaluating diverse data streams, automating retrieval of database information, prioritizing inputs, reconciling conflicting data, doing preliminary interpretations, discovering patterns or trends in data, and automating some of the simpler prescreening tasks that are time consuming and tedious. Thus knowledge discovery technologies can provide a foundation of support for the analyst. Rather than spending time sifting through often irrelevant information, analysts could use their specialized skills in a focused, productive fashion. This would allow them to make their analytical judgments with more confidence and spend more of their time doing what they do best.

Physical Description

8 p.

Notes

INIS; OSTI as DE99002571

Source

  • INMM/ESARDA workshop on science and modern technology for safeguards, Albuquerque, NM (United States), 21-24 Sep 1998

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  • Other: DE99002571
  • Report No.: LA-UR--98-4077
  • Report No.: CONF-9809137--
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 350839
  • Archival Resource Key: ark:/67531/metadc688773

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  • December 31, 1998

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • Feb. 29, 2016, 3:51 p.m.

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Whiteson, R. Knowledge discovery: Extracting usable information from large amounts of data, article, December 31, 1998; New Mexico. (digital.library.unt.edu/ark:/67531/metadc688773/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.