Learning global models based on distributed data abstractions

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2005, Pages 1645-1646

  Zhang, Xiaofeng ^a   Cheung, William K ^a  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; DISTRIBUTED DATA; DISTRIBUTED DATA ANALYSIS; GAUSSIAN MIXTURE MODEL; HIGHLY ACCURATE; MODEL-BASED METHOD; RESEARCH ISSUES; SYNTHETIC DATASETS;

ARTIFICIAL INTELLIGENCE; COBOL (PROGRAMMING LANGUAGE); DATA PRIVACY;

AGGREGATES;

EID: 84880721561     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. C. M. Bishop. Neural Networks for Pattern Recognition. Oxford University Press, 1995.
2. H. Kargupta, B. Park, D. Hershberger, and E. Johnson. Collective Data Mining: A New Perspective Towards Distributed Data Mining. In Advances in Distributed and Parallel Knowledge Discovery. MIT/AAAI Press, 2000.
3. S. Merugu and J. Ghosh. Privacy-preserving Distributed Clustering using Generative Models. In Proceedings of IEEE International Conference on Data Mining, 2003.
4. Xiaofeng Zhang, C.M. Lam, and William K. Cheung. Mining local data sources for learning global cluster models via local model exchange. The IEEE Intelligent Informatics Bulletin, 4(2), 2004.