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Title: LER Data Mining Pilot Study Final Report

Abstract

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.

Authors:
; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
15020763
Report Number(s):
PNNL-14910
401001060; TRN: US200521%%136
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; INFORMATION SYSTEMS; INFORMATION RETRIEVAL; CLASSIFICATION; DATA; DOCUMENT TYPES; Data mining; LER

Citation Formats

Young, Jonathan, Zentner, Michael D, and McQuerry, Dennis L. LER Data Mining Pilot Study Final Report. United States: N. p., 2004. Web. doi:10.2172/15020763.
Young, Jonathan, Zentner, Michael D, & McQuerry, Dennis L. LER Data Mining Pilot Study Final Report. United States. https://doi.org/10.2172/15020763
Young, Jonathan, Zentner, Michael D, and McQuerry, Dennis L. 2004. "LER Data Mining Pilot Study Final Report". United States. https://doi.org/10.2172/15020763. https://www.osti.gov/servlets/purl/15020763.
@article{osti_15020763,
title = {LER Data Mining Pilot Study Final Report},
author = {Young, Jonathan and Zentner, Michael D and McQuerry, Dennis L},
abstractNote = {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.},
doi = {10.2172/15020763},
url = {https://www.osti.gov/biblio/15020763}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 15 00:00:00 EDT 2004},
month = {Fri Oct 15 00:00:00 EDT 2004}
}