Discovering frequent tree patterns over data streams

Proceedings of the Sixth SIAM International Conference on Data Mining

Volumn 2006, Issue , 2006, Pages 629-633

  Hsieh, Mark Cheng Enn ^a   Wu, Yi Hung ^b   Chen, Arbee L P ^c  

^a BenQ Corporation   (Taiwan)

^b NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^c NATIONAL CHENGCHI UNIVERSITY   (Taiwan)

Author keywords

Data Mining; Data streams; Tree patterns

Indexed keywords

DATA STRUCTURES; GRAPH THEORY; INFORMATION ANALYSIS; INTERNET; LEARNING ALGORITHMS; TREES (MATHEMATICS); XML;

DATA REPRESENTATION; DATA STREAMS; ONLINE ALGORITHM; TREE PATTERNS;

DATA MINING;

EID: 33745447086     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972764.74     Document Type: Conference Paper

References (6)

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2. T. Asai, K. Abe, S. Kawasoe, et al., "Online Algorithms for Mining Semi-structured Data Streams," Proc. of IEEE Intl. Conf. on Data Mining, 2002.
3. C. Hidber, "Online Association Rule Mining," Proc. of ACM Intl. Conf. on Management of Data, 1999.
4. G.S. Manku and R. Motwani, "Approximate Frequency Counts over Data Streams," Proc. of Intl. Conf. on Very Large Data Bases, 2002.
5. L.H. Yang, M.L. Lee, and W. Hsu, "Finding Hot Query Patterns over an XQuery Stream," VLDB Journal - Special Issue on Data Streams, 2004.
6. M.J. Zaki, "Efficiently Mining Frequent Trees in a Forest," Proc. of ACM Intl. Conf. on Knowledge Discovery and Data Mining, 2002.