LERs consist of a one page standard form with a standard header and free text data, followed by additional continuation pages of free text data. Currently this LER data is analyzed by first inputting the heading and text data manually into a categorical relational database. The data is then evaluated by enumeration of data in various categories and supplemented by review of individual LERs. This is labor intensive and makes it difficult to relate specific descriptive text to enumerated results. State of the art data mining and visualization technology exists that can eliminate the need for manual categorization, maintain the …
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Publisher Info:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Place of Publication:
Richland, Washington
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Description
LERs consist of a one page standard form with a standard header and free text data, followed by additional continuation pages of free text data. Currently this LER data is analyzed by first inputting the heading and text data manually into a categorical relational database. The data is then evaluated by enumeration of data in various categories and supplemented by review of individual LERs. This is labor intensive and makes it difficult to relate specific descriptive text to enumerated results. State of the art data mining and visualization technology exists that can eliminate the need for manual categorization, maintain the text relationships within each report, produce the same enumerated results currently available, and provide a tool to support potentially useful additional analysis of the informational content of LERs in a more timely and cost effective manner.
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Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.
Young, Jonathan; Zentner, Michael D. & McQuerry, Dennis L.LER Data Mining Pilot Study Final Report,
report,
October 15, 2004;
Richland, Washington.
(https://digital.library.unt.edu/ark:/67531/metadc1417313/:
accessed April 24, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
