Correlation-based attribute outlier detection in XML

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2008, Pages 1522-1524

  Koh, Judice L Y ^a   Lee, Mong Li ^a   Hsu, Wynne ^a   Ang, Wee Tiong ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; INFORMATION MANAGEMENT; TECHNOLOGY; XML;

DATA CLEANING; DATA ENGINEERING; HIERARCHICAL STRUCTURING; INTERNATIONAL CONFERENCES; OUTLIER DETECTION; RELATIONAL DATA; SEMI-STRUCTURED DATA;

MARKUP LANGUAGES;

EID: 52649164527     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2008.4497610     Document Type: Conference Paper

References (8)

1. J. Gray, S. Chaudhuri1, A. Bosworth1, A. Layman1, D. Reichart, M. Venkatrao, F. Pellow, and H. Pirahesh, "Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals," Data Mining and Knowledge Discovery 1(1), 1997.
2. A. Gupta, V. Harinarayan, and D. Quass, "Aggregate-Query Processing in Data Warehousing Environments," VLDB, 1995.
3. B. He, K.C. Chang, J. Han, "Discovering complex matchings across Web query interfaces: A correlation-mining approach," SIGKDD, 2004.
4. A.K. Jain and R.C. Dubes, Algorithms for clustering data. Prentice Hall, Englewood Cliffs, NJ, 1988.
5. J.L.Y. Koh, M.L. Lee, W. Hsu and K.T. Lam, "Correlation-based Detection of Attribute Outliers," DASFAA, 2007.
6. G. Piatetsky-Shapiro, "Discovery, analysis and presentation of strong rules," Knowledge Discovery in Databases, G. Piatetsky-Shapiro and W. Frawley eds, AAAI/MIT Press, 1991.
7. P.N. Tan, V. Kumar, and J. Srivastava, "Selecting the right interestingness measure for association patterns," SIGKDD, 2002.
8. X. Zhu and X. Wu, "Class Noise vs. Attribute Noise: A Quantitative Study of their Impacts," Artificial Intelligence Review 22(3), 2004.