Citation data clustering for author name disambiguation

ACM International Conference Proceeding Series

Volumn 06-08-June-2007, Issue , 2007, Pages

  Masada, Tomonari ^a   Takasu, Atsuhiro ^b   Adachi, Jun ^b  

^a NAGASAKI UNIVERSITY   (Japan)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

Name disambiguation; Unsupervised learning

Indexed keywords

CLASSIFIERS; CLUSTERING ALGORITHMS; INFORMATION SYSTEMS; INFORMATION USE; MIXTURES; PETROLEUM RESERVOIR EVALUATION; UNSUPERVISED LEARNING;

AUTHOR NAME DISAMBIGUATIONS; CLUSTERING METHODS; EVALUATION EXPERIMENTS; HIDDEN VARIABLE; NAME DISAMBIGUATION; PRECISION AND RECALL; PROBABILISTIC MODELING; SCIENTIFIC PAPERS;

CLUSTER ANALYSIS;

EID: 77952681374     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/infoscale.2007.203     Document Type: Conference Paper

References (11)

1. http://citeseer.ist.psu.edu
2. http://www.informatik.uni-trier.de/~ley/db
3. http://www.tartarus.org/~martin/PorterStemmer
4. X. Dong, A. Halevy, and J. Madhavan, Reference Reconciliation in Complex Information Spaces, in Proc. of SIGMOD2005, pp. 85-96, 2005.
5. H. Han, C. L. Giles, H. Zha, C. Li, and K. Tsioutsiouliklis, Two Supervised Learning Approaches for Name Disambiguation in Author Citations, in Proc. of JCDL2004, pp. 296-305, 2004.
6. H. Han, W. Xu, H. Zha, and C. Lee Files, A Hierarchical Naive Bayes Mixture Model for Name Disambiguation in Author Citations, in Proc. of SAC'05, pp. 1065-1069, 2005.
7. H. Han, H. Zha, and L. Giles, Name disambiguation in author citations using a k-way spectral clusering method, in Proc. of JCDL2005, pp. 334-343, 2005.
8. A. Hotho, S. Staab, and G. Stumme, WordNet improves text document clustering, in Proc. of SIGIR 2003 Semantic Web Workshop, 2003.
9. D. V. Kalashnikov, S. Mehrotra, and Z. Chen, Exploiting Relationships for Domain-Independent Data Cleaning, in Proc. of the SIAM International Conference on Data Mining, 2005.
10. K. Rose, E. Gurewitz, and G. Fox, A Deterministic Annealing Approach to Clustering, Pattern Recognition Letters, Vol. 11, pp. 589-594, 1990.
11. K. Nigam, A. McCallum, S. Thrun, and T. M. Mitchell, Text Classification from Labeled and Unlabeled Documents using EM, Machine Learning, Vol. 39, No. 2/3, pp. 103-134, 2000.