Approach for name ambiguity problem using a multiple-layer clustering

Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009

Volumn 4, Issue , 2009, Pages 874-878

  Jiang, Wenrong ^a   Wang, Anbao ^b   Wu, Cmhong ^a   Chen, Jian ^a   Yan, Jihong ^a  

^a SHANGHAI SECOND POLYTECHNIC UNIVERSITY   (China)

^b Doiighua University   (China)

Author keywords

Clustering; Fuzzy logic; Name ambiguity; Package merge

Indexed keywords

CLUSTERING; CLUSTERING APPROACH; COAUTHORSHIP; DATA SETS; E-MAIL ADDRESS; EXPERIMENTAL STUDIES; EXTRACTION METHOD; FUZZY LOGIC RULES;

COMPUTER SCIENCE; DIGITAL LIBRARIES; FUZZY CLUSTERING; FUZZY SETS; MERGERS AND ACQUISITIONS; STATISTICAL TESTS;

FUZZY LOGIC;

EID: 70849098580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSE.2009.110     Document Type: Conference Paper

References (11)

1. Xiao, X.Y., Jia, W.H, Object Distinction: Distinguishing Objects with Identical Names. In: IEEE 23rd International Conference on Data Engineering, pp. 1242-1246, ACM Press, The Marmara Hotel, Istanbul, Turkey (2007).
2. Dong, W.Lee., Byung, W.O., Jae, K, Sang, P.: Effective and scalable solutions for mixed and split citation problems in digital libraries. ACM SIGMOD Workshop on Information Quality in Information Systems, 2: 69-76, ACM Press, Baltimore (2005).
3. Hui, H., Hong, Y.Z., Lee, G.: Name disambiguation in author citations using a K-way spectral clustering method. ACM/IEEE Joint Conference on Digital Libraries, pp. 334-343? ACM Press, Denver (2005).
4. Hui, H., Lee, G, Hong, Y.Z, Two supervised learning approaches for name disambiguation in author citations. In: 4th ACM/IEEE-CS Joint Conference on Digital libraries, pp: 296-305, ACM Press, Tuscon (2004).
5. Hanna, P., Bhaskara, M., Brian, M., Stuart, J. R, Ilya, S, Identity Uncertainty and Citation Matching. Neural Information Processing Systems, pp: 1401-1408, MIT Press, Vancouver (2002).
6. Ivan, P. F, Alan, B.S, A theory for record linkage. Journal of the American Statistical Association, 64:1183-1210 (1969).
7. Dina, B, David, J.D, Duplicate record elimination in large data files. ACM Transactions on Database Systems, 8(2):255-265 (1983).
8. Alvaro, E. M, Charles, E, An efficient domain-independent algorithm for detecting approximately duplicate database records. In Research Issues on Data Mining and Knowledge Discovery, 23-29 (1997).
9. Andrew, M., Kamal, N., Lyle, H. U, Efficient clustering of high-dimensional data sets with application to reference matching. In: Knowledge Discovery and Data Mining, pp: 169-178 (2000).
10. Justin, Z., Philip, D, Phonetic string matching: lessons from information retrieval. In: 19th annual international ACM SIGIR conference on Research and development in information retrieval, pp: 166 - 172, ACM Press, Zurich (1996).
11. George, J.K., Ute, S.C., Bo, Y, Fuzzy Set Theory Foundations and Applications (1997).