DM: RE: Data mining in bibliometric analysis?

[Cunningham, Scott W]

Donald,

Bibliometricians and scientometricians specialize in applying data
mining algorithms to large databases of science.
These researchers often have a "governmental" or "research evaluation"
orientation to their research.  You can follow their literature in
journals such as "Scientometrics" and "Research Policy."

The bibliometric groups I am aware of include

Ben Martin, Sylvan Katz - University of Sussex
Diana Hicks, Francis Narin - CHI Research 
Van Raan, Ed Noyon - Leiden University
Alan Porter, Dave Roessner - Georgia Tech
Kostoff - U.S. Navy 

As Alessandro Zanasi notes, competitive intelligence professionals 
are a
second group of data miners with very compatible interests.  I
understand this group to be more focused on commercial and private
sector applications. 

I believe data miners, bibliometricians and competitive intelligence
professionals would benefit from closer interaction.  As it is I 
believe
these groups work in comparative isolation.

I personally have worked in both bibliometrics and data mining.  With
Georgia Tech and University of Sussex I mined large databases of 
British
and Malaysian scientific publications.  At NCR I apply similar data
mining techniques to analyze problems of a commercial nature.

Best Wishes,

Scott

Scott Cunningham, D.Phil.
Human Interface Technology Center
NCR Corporation




        -----Original Message-----
        From:   Donald Baker [SMTP:drralph@ou.edu]
        Sent:   Wednesday, January 28, 1998 2:38 PM
        To:     datamine-l@nautilus-sys.com
        Subject:        DM: Data mining in bibliometric analysis?

        Data mining would appear to be very relevant to 'dredging' 
large
        bibliographies for
        related concepts, co-ciations etc.  Does anyone know of anyone
using the

        approach of dm within this context?