FRACTALS TEXT MINING USING BIBLIOMETRICS AND DATABASE TOMOGRAPHY

Ronald Neil Kostoff · Michael F. Shlesinger · Guido Malpohl

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scientometrics and bibliometrics research Advanced Text Analysis Techniques Computational and Text Analysis Methods

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 obtain technical intelligence from a Fractals database derived from the Science Citation Index/Social Science Citation Index (SCI). Phrase frequency analysis by the technical domain experts provided the pervasive technical themes of the Fractals database, and the phrase proximity analysis provided the relationships among the pervasive technical themes. Bibliometric analysis of the Fractals literature supplemented the DT results with author/journal/institution publication and citation data.

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1996Problems of citation analysis 1998The use and misuse of citation analysis in research evaluation 2001Text mining using database tomography and bibliometrics: A review 1998Database tomography for technical intelligence: A roadmap of the near-earth space science and technology literature 1999Fullerene Data Mining Using Bibliometrics and Database Tomography 2002Electrochemical power text mining using bibliometrics and database tomography 1999Hypersonic and supersonic flow roadmaps using bibliometrics and database tomography 2000Database Tomography Applied to an Aircraft Science and Technology Investment Strategy

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