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Sheffield, UK
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59249101599
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A Heuristicbased Hierarchical Clustering Method for Author Name Disambiguation in Digital Libraries
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João Pessoa, Brazil
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Two Supervised Learning Approaches for Name Disambiguation in Author Citations
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Tucson, Arizona
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Han, H., Giles, C.L., Zha, H., Li, C., and Tsioutsiouliklis, K. Two Supervised Learning Approaches for Name Disambiguation in Author Citations. In Proc. of the ACM/IEEE Joint Conference on Digital Libraries, Tucson, Arizona, 2004, pp. 296-305.
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Name Disambiguation in Author Citations Using a K-way Spectral Clustering Method
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Denver, Colorado
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Efficient Name Disambiguation for Large-scale Databases
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The Open Archives Initiative: Building a Low-barrier Interoperability Framework
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Effective and Scalable Solutions for Mixed and Split Citation Problems in Digital Libraries
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Lee, D., On, B.-W., Kang, J., and Park, S. Effective and Scalable Solutions for Mixed and Split Citation Problems in Digital Libraries. In Proc. of the 2nd Int'l Workshop on Information Quality in Information Systems, Baltimore, Maryland, 2005, pp. 69-76.
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A Component-Based Digital Library Service for Finding Missing Documents
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Santos, R.L.T., Silva, A.J.C., Santos, H.S., Laender, A.H.F., and Gonçalves, M.A. A Component-Based Digital Library Service for Finding Missing Documents. Proc. of the Brazilian Symposium on Databases, João Pessoa, Brazil, 2007, pp. 5-19.
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Finding What is Missing from a Digital Library: A Case Study in the Computer Science Field
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Efficient Topic Based Unsupervised Name Disambiguation
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Vancouver, Canada
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