Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials

Marianne Cherrington, Joan Lu, David Airehrour, Fadi Thabtah, Qiang Xu, Samaneh Madanian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Feature Selection (FS) is a crucial step in high-dimensional and big data analytics. It mitigates the 'curse of dimensionality' by removing redundant and irrelevant features. Most FS algorithms use a single source of data and struggle with heterogeneous data, yet multi-source (MS) and multi-view (MV) data are rich and valuable knowledge sources. This paper reviews numerous, emerging FS techniques for both these data types. The major contribution of this paper is to underscore uses and limitations of these heterogeneous methods concurrently, by summarising their capabilities and potentials to inform key areas of future research, especially in numerous applications.

Original languageEnglish
Title of host publication29th International Telecommunication Networks and Applications Conference
Subtitle of host publication(ITNAC 2019)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781728136738, 9781728136721
ISBN (Print)9781728136745
DOIs
Publication statusPublished - 1 Nov 2019
Event29th International Telecommunication Networks and Applications Conference - Auckland, New Zealand
Duration: 27 Nov 201929 Nov 2019
Conference number: 29

Publication series

Name2019 29th International Telecommunication Networks and Applications Conference, ITNAC 2019
PublisherIEEE
ISSN (Print)2474-1531
ISSN (Electronic)2474-154X

Conference

Conference29th International Telecommunication Networks and Applications Conference
Abbreviated titleITNAC 2019
CountryNew Zealand
CityAuckland
Period27/11/1929/11/19

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  • Cite this

    Cherrington, M., Lu, J., Airehrour, D., Thabtah, F., Xu, Q., & Madanian, S. (2019). Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials. In 29th International Telecommunication Networks and Applications Conference : (ITNAC 2019) [9077992] (2019 29th International Telecommunication Networks and Applications Conference, ITNAC 2019). IEEE. https://doi.org/10.1109/ITNAC46935.2019.9077992