Apriori-based research community discovery in bibliographic database

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. © Springer-Verlag 2011.