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Distributed and parallel knowledge discovery (workshop session) (title only)
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
Page: 534  
Year of Publication: 2000
ISBN:1-58113-233-6
Authors
Hillol Kargupta
Philip Chan
Vipin Kumar
Zoran Obradovic
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
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 1
Additional Information:

cited by   index terms   collaborative colleagues  

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DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/347090.347533
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CITED BY
Tao Li , Shenghuo Zhu , Mitsunori Ogihara, Algorithms for clustering high dimensional and distributed data, Intelligent Data Analysis, v.7 n.4, p.305-326, September 2003

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining


General Terms:
Design, Management, Performance, Theory

Collaborative Colleagues:
Hillol Kargupta: colleagues
Philip Chan: colleagues
Vipin Kumar: colleagues
Zoran Obradovic: colleagues

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