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Characterizing the Outlying Feature Set of Groups

conference contribution
posted on 2019-01-01, 00:00 authored by Haiyang Xia, Quan VuQuan Vu, Jianlong Tan, Gang LiGang Li, Xiao Li
Outlying feature set of groups is useful in many applicationscenarios.However, most of existing literatures focusedoncharacterizing outlying feature set of individuals rather than group level. A method that can identify outlying feature setof groups effectively from large scale dataset is not yet available. This paper aims to tackle this challenge by proposing a novelgroup outlying feature set identification algorithm, named GOFSI, which can identify the outlying feature set at the group level automatically. The Experiments on both synthetic and real-world data sets confirmed the effectiveness of ourmethod.

History

Volume

165

Pagination

119-125

Location

Chennai, India

Start date

2019-11-11

End date

2019-11-12

ISSN

1877-0509

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ICRTAC -DISRUP - TIV INNOVATION 2019 : Proceedings of the 2nd International Conference on Recent Trends in Advanced Computing

Event

Recent Trends in Advanced Computing. Conference (2019 : 2nd : Chennai, India)

Publisher

Elsevier

Place of publication

Amsterdam, The Netherlands

Series

Procedia Computer Science

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