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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)
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15
Science and Technology Text Mining: Nonlinear Dynamics
In: DTIC AND NTIS (2004)
Abstract: Database Tomography (DT) is a textual database analysis system consisting of two major components: 1) algorithms for extracting multi-word phrase frequencies and phrase proximities (physical closeness of the multi-word technical phrases) from any type of large textual database, to augment 2) interpretative capabilities of the expert human analyst. DT was used to derive technical intelligence from an Nonlinear Dynamics database extracted from the combined Science Citation Index (SCI)/ Social Science Citation Index (SSCI), hereafter referred to as SCI. Phrase frequency analysis by the technical domain experts provided the pervasive technical themes of the Nonlinear Dynamics database, and the phrase proximity analysis provided the relationships among the pervasive technical themes. Bibliometric analysis of the Nonlinear Dynamics literature supplemented the DT results with author/ journal/ institution publication and citation data. ; The original document contains color images. Prepared in collaboration with DDL Omni Engineering, McLean, VA.
Keyword: *ALGORITHMS; *DATA BASES; *PHRASE STRUCTURE GRAMMARS; *TEXT MINING; ANALYSTS; BIBLIOMETRICS; BIFURCATION; CLUSTERING; COMPUTATIONAL LINGUISTICS; DOCUMENTS; DYNAMICS; FACTOR MATRIX; FREQUENCY; Information Science; NONLINEAR DYNAMICS; NONLINEAR SYSTEMS; SCIENCE CITATION INDEX; STRANGE ATTRACTORS; TOMOGRAPHY
URL: http://www.dtic.mil/docs/citations/ADA420998
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA420998
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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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