Attribute selection is one of the steps before patent clustering. Various attributes can be used for clustering. In this study, the effect of using citation and citation title words, respectively, in form of bibliographic coupling and citation title words sharing, were measured and compared with each other, as patent attributes. This study was done in an experimental method, on a collection of 717 US Patent cited in the patents belong to 977/774 subclass of US Patent Classification. Fuzzy C-means was used for patent clustering and extended BCubed precision and extended BCubed recall were used as evaluation measure. The results showed that the clustering produced by bibliographic coupling had better performance than clustering used citation title words and existence of cluster structure were in a wider range of exhaustivity than citation title words.
Kermani,A. , Neshat,N. and Horri,A. (2013). Application of Bibliographic Coupling versus Cited Titles Words in Patent Fuzzy Clustering. Iranian Journal of Information Processing and Management, 28(2), 411-432.
MLA
Kermani,A. , , Neshat,N. , and Horri,A. . "Application of Bibliographic Coupling versus Cited Titles Words in Patent Fuzzy Clustering", Iranian Journal of Information Processing and Management, 28, 2, 2013, 411-432.
HARVARD
Kermani A., Neshat N., Horri A. (2013). 'Application of Bibliographic Coupling versus Cited Titles Words in Patent Fuzzy Clustering', Iranian Journal of Information Processing and Management, 28(2), pp. 411-432.
CHICAGO
A. Kermani, N. Neshat and A. Horri, "Application of Bibliographic Coupling versus Cited Titles Words in Patent Fuzzy Clustering," Iranian Journal of Information Processing and Management, 28 2 (2013): 411-432,
VANCOUVER
Kermani A., Neshat N., Horri A. Application of Bibliographic Coupling versus Cited Titles Words in Patent Fuzzy Clustering. Iranian Journal of Information Processing and Management, 2013; 28(2): 411-432.
