Research Issues in Outlier Detection-Reference-Cited by-同舟云学术

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Research Issues in Outlier Detection

Published:2019 Issue: Volume: Page:29-51
ISSN:1868-4394
Container-title:Intelligent Systems Reference Library
language:
Short-container-title:

Author:

Ranga Suri N. N. R.,Murty M Narasimha,Athithan G.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05127-3_3

Reference52 articles.

1. Aggarwal, C.C., Yu, P.S.: Outlier detection for high dimensional data. In: ACM SIGMOD International Conference on Management of Data, Santa Barbara, USA, pp. 37–46 (2001)

2. Aggarwal, C.C., Yu, P.S.: An effective and efficient algorithm for high-dimensional outlier detection. VLDB J. 14(2), 211–221 (2005)

3. Almeida, J.A.S., Barbosa, L.M.S., Pais, A.A.C.C., Formosinho, S.J.: Improving hierarchical cluster analysis: a new method with outlier detection and automatic clustering. Chemom. Intell. Lab. Syst. 87, 208–217 (2007)

4. Angiulli, F., Pizzuti, C.: Fast outlier detection in high dimensional spaces. In: 6th European Conference on the Principles of Data Mining and Knowledge Discovery, pp. 15–26 (2002)

5. Angiulli, F., Pizzuti, C.: Outlier mining in large high-dimensional data sets. IEEE Trans. Knowl. Data Eng. (KDE) 17, 203–215 (2005)

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