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1
Structure and infrastructure of infectious agent research literature: SARS
Kostoff, Ronald N.; Morse, Stephen A.. - : Springer Netherlands, 2010
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2
Assessment of Breadth and Utility of India's Research Literature (2005-2006)
In: DTIC (2007)
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3
Text Mining the Biomedical Literature
In: DTIC (2007)
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4
Clustering methodologies for identifying country core competencies
Kostoff, Ronald N.; del Rio, J. Antonio; Cortes, Héctor D.. - : Sage Publications Ltd, 2007
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5
The Structure and Infrastructure of Chinese Science and Technology
In: DTIC (2006)
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6
Assessment of India's Research Literature
In: DTIC (2006)
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7
Structure of the Anthrax Research Literature
In: DTIC (2006)
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8
Structure of the Global Nanoscience and Nanotechnology Research Literature
In: DTIC (2006)
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9
The Structure and Infrastructure of the Finnish Research Literature
In: DTIC (2006)
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10
Science and Technology Text Mining: Wireless LANS
In: DTIC AND NTIS (2005)
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11
The Structure and Infrastructure of the Global Nanotechnology Literature
In: DTIC AND NTIS (2005)
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12
The structure and infrastructure of Mexico's science and technology
Kostoff, Ronald N.; del Rio, J. Antonio; Cortes, Héctor D.. - : Elsevier Science Inc, 2005
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13
Science and Technology Text Mining: Electric Power Sources
In: DTIC AND NTIS (2004)
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14
Context-Dependent Conflation, Text Filtering and Clustering
In: DTIC AND NTIS (2004)
Abstract: The presence of trivial words in text databases can impact record or concept (words or phrases) clustering adversely. Additionally, the determination of whether a word or phrase is trivial is context-dependent. The objective of the present paper is to demonstrate a context-dependent trivial word filter to improve clustering quality. Factor analysis was used as a context-dependent trivial word filter for subsequent term clustering. Medline records for Raynaud's Phenomenon were used as the database, and words were extracted from the record abstracts. A factor matrix of these words was generated, and the words that had low factor loadings across all factors were identified and eliminated. The remaining words, which had high factor loading values for at least one factor and therefore were influential in determining the theme of that factor, were input to the clustering algorithm. Both quantitative and qualitative analyses were used to show that factor matrix filtering leads to higher quality clusters and subsequent taxonomies. Additionally, a fractals database obtained from the Science Citation Index was used to demonstrate the value of factor matrices to determine the interchangeability of word variants, and show the context dependency requirements for conflation. (8 figures, approx. 90 refs.) ; The original document contains color images.
Keyword: *CLUSTERING; *COMPUTATIONAL LINGUISTICS; *FACTOR ANALYSIS; *FACTOR MATRIX FILTERING; *INFORMATION RETRIEVAL; *MATHEMATICAL FILTERS; *TEXT FILTERING; *TEXT PROCESSING; ALGORITHMS; COMPUTER APPLICATIONS; CONCEPT CLUSTERING; CONFLATION; CONTEXT-DEPENDENT TRIVIAL WORDS; DATA BASES; DEMONSTRATIONS; DOCUMENT CLUSTERING; FACTOR LOADING; FRACTALS; Information Science; Numerical Mathematics; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RAYNAUD'S DISEASE; RAYNAUD'S PHENOMENON; RAYNAUD'S SYNDROME; Statistics and Probability; STEMMING; STOP WORD LISTS; TAXONOMY; TRIVIAL WORD FILTERING; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA426072
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA426072
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15
Science and Technology Text Mining: Nonlinear Dynamics
In: DTIC AND NTIS (2004)
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16
How useful are 'key words' in scientific journals?
In: Journal of information science. - London [u.a.] : Sage Publ. 29 (2003) 5, 433-438
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17
Science and Technology Text Mining: Electrochemical Power
In: DTIC AND NTIS (2003)
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18
Science and Technology Text Mining: Near-Earth Space
In: DTIC (2003)
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19
Macromolecule Mass Spectrometry: Citation Mining of User Documents
In: DTIC AND NTIS (2003)
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20
Science and Technology Text Mining: Citation Mining of Dynamic Granular Systems
In: DTIC AND NTIS (2003)
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