Detecting change in data stream: Using sampling technique

Proceedings - Third International Conference on Natural Computation, ICNC 2007

Volumn 1, Issue , 2007, Pages 130-134

  Li, Wei ^a   Jin, Xiaoming ^a   Ye, Xiaojun ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STREAMS; EVOLVING MECHANISM; STREAMING DATA;

COMPUTER CRIME; DATA REDUCTION; MATHEMATICAL MODELS; PROBLEM SOLVING;

VIDEO STREAMING;

EID: 38049035096     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2007.329     Document Type: Conference Paper

References (8)

1. Daniel Kifer, Shai Ben-David, Johannes Gehrke:Detecting Change in Data Streams,in VLDB2004
2. V. Ganti, J. Gehrke, R. Ramakrishnan, and W.-Y. Loh. A framework for measuring differences in data characteristics. Journal of Computer and System Sciences (JCSS), 64(3):542-578, 2002
3. T. Batu, L. Fortnow, R. Rubinfeld, W. D. Smith, and P. White. Testing that distributions are close. In FOCS 2000
4. V.Ganti, J.Gehrke, and R.Ramakrishnan.Demon: Mining Data Streams under block evolution. SIGKDD Explorations,3(2):1-10,2002
5. Sirsih Chandrasekaran, Michael Franklin: Remembrance of Streams Past: Overload-Sensitive Management of Archived Streams. In VLDB 2004
6. F. Wilcoxon. Individual comparisons by ranking methods: Biometrics Bulletin, 1:80-83, 1945
7. J. Lin: Divergence measures based on the shannon entropy. IEEE Transactions on Information Theory, 37(1):145-151, 1991.
8. V. N. Vapnik. Statistical Learning Theory. John Wiley & Sons, 1998.