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Efficient clustering of high-dimensional data sets with application to reference matching
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Source International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Boston, Massachusetts, United States
Pages: 169 - 178  
Year of Publication: 2000
ISBN:1-58113-233-6
Authors
Andrew McCallum  WhizBang! Labs - Research, 4616 Henry Street, Pittsburgh, PA and School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Kamal Nigam  School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Lyle H. Ungar  Computer and Info. Science, University of Pennsylvania, Philadelphia, PA
Sponsors
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.5 PATTERN RECOGNITION

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Clustering


General Terms:
Algorithms, Design, Experimentation, Management, Measurement, Performance, Theory

Collaborative Colleagues:
Andrew McCallum: colleagues
Kamal Nigam: colleagues
Lyle H. Ungar: colleagues

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