Mining outlying aspects on numeric data-Reference-Cited by-同舟云学术

Mining outlying aspects on numeric data

Published:2015-01-17 Issue:5 Volume:29 Page:1116-1151
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Duan Lei,Tang Guanting,Pei Jian,Bailey James,Campbell Akiko,Tang Changjie

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10618-014-0398-2.pdf

Reference28 articles.

1. Aggarwal CC (2013) An introduction to outlier analysis. Springer, New York

2. Aggarwal CC, Yu PS (2001) Outlier detection for high dimensional data. ACM Sigmod Record, ACM, vol 30, pp 37–46

3. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th international conference on very large data bases, VLDB ’94, pp 487–499

4. Angiulli F, Fassetti F, Palopoli L (2009) Detecting outlying properties of exceptional objects. ACM Trans Database Syst 34(1):7:1–7:62

5. Angiulli F, Fassetti F, Palopoli L, Manco G (2013) Outlying property detection with numerical attributes. CoRR abs/1306.3558

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