A Method of Peculiarity Factor Approximation using Vector Quantization Model
Author:
Affiliation:
1. Department of Industrial and Systems Engineering, Aoyama Gakuin University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/135/3/135_304/_pdf
Reference13 articles.
1. (1) C. C. Aggarwal: “Outlier Analysis”, Springer (2013)
2. (2) Z. Niu, S. Shi, J. Sun, X. He, N. Zhong, Y. Yao, and M. Ohshima: “A Survey of Outlier Detection Methodologies and Their Applications”, Artificial Intelligence and Computational Intelligence Lecture Notes in Computer Science, Vol. 7002, pp. 380-387 (2011)
3. (3) J. Yang, N. Zhong, Y. Yao, and J. Wang: “Peculiarity Analysis for Classifications”, Proceeding of IEEE International Conference on Data Mining, pp. 608-616 (2009)
4. (4) N. Zhong, Y. Yao, and M. Ohshima: “Peculiarity Oriented Multidatabase Mining”, IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 4, pp. 952-960 (2003)
5. (6) F. Saitoh, T. Mogawa, and S. Ishizu: “Extraction of Minority Opinion Based on Peculiarity in a Semantic Space Constructed of Free Writing”, Advances in Intelligent Systems and Computing (Soft Computing in Big Data Processing), Vol. 271, pp. 1-10 (2014)
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