Visualizing global manifold based on distributed local data abstractions

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2005, Pages 821-824

  Zhang, Xiaofeng ^a   Cheung, William K ^a  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH; BENCHMARKING; DATA PRIVACY; DATA REDUCTION; MATHEMATICAL MODELS;

DATA ABSTRACTIONS; DATA SET; DATA SHARING; GENERATIVE TOPOGRAPHIC MAPPING (GTM);

DATA MINING;

EID: 34548564169     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.150     Document Type: Conference Paper

References (5)

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3. M. Klusch, S. Lodi, and G. L. Moro. Distributed Clustering Based on Sampling Local Density Estimates. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI2003), pages 485-490, Mexico, August 2003.
4. S. Merugu and J. Ghosh. Privacy-preserving Distributed Clustering using Generative Models. In The Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, FL, November 2003.
5. X. Zhang and W. K. Cheung. Learning Global Models Based on Distributed Data Abstractions. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2005), Edinburgh, August 2005.