Research on maximal frequent pattern outlier factor for online high-dimensional time-series outlier detection

Journal of Convergence Information Technology

Volumn 5, Issue 10, 2010, Pages 66-71

  Lin, Feng ^a   Le, Wang ^a   Bo, Jin ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

High dimensional time series; Maximal frequent itemsets; Outlier detection

Indexed keywords

FREQUENT ITEMSETS; FREQUENT PATTERNS; HIGH-DIMENSIONAL; HIGHER EFFICIENCY; MAXIMAL FREQUENT ITEMSETS; MAXIMAL FREQUENT PATTERN; OUTLIER DETECTION; OUTLIER DETECTION ALGORITHM; REAL-WORLD; SLIDING WINDOW; TIME-SERIES DATA;

DATA COMMUNICATION SYSTEMS;

DATA MINING;

EID: 78651564950     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol5.issue10.9     Document Type: Article

References (11)

1. P.J. Brockwell, Richard A Davis, Time Series: Theory and Methods, Springer, New York, 2009.
2. D.M. Hawkins, Identification of outliers, Chapman and Hall, London, 1980.
3. J. Yang, N. Zhong, Y.Y. Yao, et al, "Peculiarity Analysis for Classifications", In Proceedings of the 2009 Ninth IEEE International Conference on Data Mining, pp. 607-616, 2009.
4. P. Dhaliwal, M.P.S. Bhatia, P. Bansal, "A Cluster-based Approach for Outlier Detection in Dynamic Data Streams", Journal of computing, Vol. 2, no. 2, pp. 74-80, 2010.
5. J. Yang, N. Zhong, Y.Y. Yao, et al, "Local peculiarity factor and its application in outlier detection", In Proceeding of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 776-784, 2008.
6. Y.H. Choo, A. Bakar, A. Hamdan, "A rough-apriori technique in mining linguistic association rules", Journal of Lecture Notes in Computer Science, Vol. 5139, pp. 548-555, 2008.
7. A. Lazarevic, V. Kumar, "Feature bagging for outlier detection", In Proceedings of the 11th ACM SIGKDD international conference on Knowledge discovery in data mining, pp. 157-166, 2005.
8. Z.Y. He, X.F. Xu, J.Z. Huang, et al, "A frequent pattern discovery method for outlier detection", In Proceedings of the 5th International Conference on Advances inWeb-Age Information Management, pp. 726-732, 2004.
9. X. Lu, T. Yang, Z. Liao, et al, "Incremental outlier detection in data streams using local correlation integral", In Proceedings of the 2009 ACM Symposium on Applied Computing, pp. 1520-1521, 2009.
10. X.Y. Zhou, Z.H. Sun, B.L. Zhang, et al, "A fast outlier detection algorithm for high dimensional categorical data streams", Journal of Software, Vol. 18, no. 4, pp. 933-942, 2007.
11. L. Wang, Sh. Wang, B. Chen, et al, "Algorithm for mining maximum frequent itemsets based on intersection pruning", Journal of Computer Engineering and Applications, Vol. 45, no. 13, pp. 156-159, 2009.