IEEE - Institute of Electrical and Electronics Engineers, Inc. - A general approach for automating outliers identification in categorical data

2013 ACS International Conference on Computer Systems and Applications (AICCSA)

Author(s): Ayman Taha ; Ali S. Hadi
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2013
Conference Location: Ifrane, Morocco
Conference Date: 27 May 2013
Page(s): 1 - 8
ISBN (Electronic): 978-1-4799-0792-2
ISSN (Electronic): 2161-5330
ISSN (Paper): 2161-5322
DOI: 10.1109/AICCSA.2013.6616425
Regular:

Outliers identification algorithms for categorical datasets strongly depend on parameter settings that require prior information about the data, e.g. number of outliers in the data, maximum length... View More

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