Distributed pattern discovery in multiple streams

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3918 LNAI, Issue , 2006, Pages 713-718

  Sun, Jimeng ^a   Papadimitriou, Spiros ^b   Faloutsos, Christos ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION THEORY; DATA MINING; DISTRIBUTED COMPUTER SYSTEMS; HIERARCHICAL SYSTEMS;

DISTRIBUTED PATTERN DISCOVERY; HIERARCHICAL ALGORITHMS; HIERARCHICAL CORRELATION DETECTION; INFORMATION SHARING;

PATTERN RECOGNITION;

EID: 33745795772     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11731139_82     Document Type: Conference Paper

References (6)

1. C. Agrawal and P. Yu. A condensation approach to privacy preserving data mining. In EDBT, 2004.
2. B. Babcock and C. Olston. Distributed Top-K Monitoring. In SIGMOD, 2003.
3. D. W. Cheung, V. T. Ng, A. W. Fu, and Y. Fu. Efficient Mining of Association Rules in Distributed Databases. TKDE, 8:911-922, 1996.
4. K. Liu, H. Kargupta, and J. Ryan. Multiplicative noise, random projection, and privacy preserving data mining from distributed multi-party data. In TKDE, 2005.
5. K. K. Loo, I. Tong, B. Kao, and D. Cheung. Online Algorithms for Mining Inter-Stream Associations From Large Sensor Networks. In PAKDD, 2005.
6. Jimeng Sun, Spiros Papadimitriou, and Christos Faloutsos. Distributed pattern discovery in multiple streams. Technical Report CMU-CS-06-100, Carnegie Mellon Univ., 2005.