Mining data streams using clustering

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 2079-2083

  Lu, Y I Hong ^a   Huang, Yan ^b  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

Data stream; K Means algorithm; Minining Data Streams; Regression Analysis; Statistical grid based algorithm

Indexed keywords

ALGORITHMS; REGRESSION ANALYSIS; STATISTICAL METHODS;

DATA STREAMS; K-MEANS;

DATA MINING;

EID: 28444440581     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. M.Ester, H.Kriegel, J.Sander, M.Wimmer, and X.Xu. "Incremental Clustering for Mining in a Datawarehousing Environment".
3. R.Duda and P.Hart. "Pattern Classification and Scene Analysis", pages 10-45. J.Wiley and Sons, 1973.
4. M.Sato and S. Ishii, "On-line EM Algorithm for the normalized Guassian Networks. Neural Computation", 12(2), 2000.
5. P.Bradley, U.Fayyad, and C.Reina, "Scaling clustering algorithms to large databases". In ACM KDD Conference, 1998.
6. G. Hulten, L. Spencer, and P. Domingos. "Mining time-changing data streams". In Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 97 {106, San Francisco, CA, 2001. ACM Press.
7. W. Hoeffding. "Probability Inequalities for Sums of Bounded Random Variables". Journal of the American Statistical Association, pages 58:18-30,1963.
8. Carious Ordonez, "Clustering Binary Data Streams with K-Means".
9. Nam Hun Park, Won Suk Lee, "Statistical Grid-Based Clustering over Data Streams".
10. Masahiro Motoyoshi, Takao Miura, Isamu Shioya, "Clustering Stream Data by Regression Analysis"