papers of interest to Sig Metrics

[Eugene Garfield]

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TITLE:          Editorial 28(2) Bibliometrics revisited (Editorial
                Material, English)
AUTHOR:         Atkinson, R
SOURCE:         AUSTRALASIAN JOURNAL OF EDUCATIONAL TECHNOLOGY 28 (2).
                2012. p.III-V ASCILITE, COMO WA

SEARCH TERM(S):  BIBLIOMETR*  item_title; EDITORIAL  doctype


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TITLE:          Editorial 28(4) Bibliometrics: Google's newest initiative
                (Editorial Material, English)
AUTHOR:         Atkinson, R
SOURCE:         AUSTRALASIAN JOURNAL OF EDUCATIONAL TECHNOLOGY 28 (4).
                2012. p.III-VIII ASCILITE, COMO WA

SEARCH TERM(S):  BIBLIOMETR*  item_title; EDITORIAL  doctype


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TITLE:          Apriori-based Research Community Discovery in
                Bibliographic Database (Article, English)
AUTHOR:         Manjusha, B; Idicula, SM
SOURCE:         COMPUTER NETWORKS AND INTELLIGENT COMPUTING 157. 2011.
                p.75-80 SPRINGER-VERLAG BERLIN, BERLIN

SEARCH TERM(S):  BIBLIOGRAPHIC*  item_title

KEYWORDS:       Apriori; Association Mining; Bibliography Databases;
                Research Community; Potential Collaborators

ABSTRACT:       Bibliographic Databases are repositories of academic
publications in all categories. For a new researcher initiating his
research, the Bibliographic Database serves as a tool for exploring the
academic social network for gaining the knowledge about the research
community and recommending the research collaborators. However,
Bibliographic Database contains a huge number of sequential data that
exhibit emergent patterns of behavior. Finding inherent regularities in
data is still a very challenging task. This paper proposes a novel method
to discover research community through association mining.

AUTHOR ADDRESS: B Manjusha, Cochin Univ Sci & Technol, Dept Comp Sci,
                Cochin 682016, Kerala, India