An ensemble learning approach for addressing the class imbalance problem in twitter spam detection

Liu, Shigang, Wang, Yu, Chen, Chao and Xiang, Yang 2016, An ensemble learning approach for addressing the class imbalance problem in twitter spam detection. In Liu, Joseph K. and Steinfeld, Ron (ed), Information security and privacy, Springer, Berlin, Germany, pp.215-228, doi: 10.1007/978-3-319-40253-6_13.

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Title An ensemble learning approach for addressing the class imbalance problem in twitter spam detection
Author(s) Liu, Shigang
Wang, Yu
Chen, Chao
Xiang, YangORCID iD for Xiang, Yang orcid.org/0000-0001-5252-0831
Title of book Information security and privacy
Editor(s) Liu, Joseph K.
Steinfeld, Ron
Publication date 2016
Series Lecture notes in computer science
Chapter number 13
Total chapters 32
Start page 215
End page 228
Total pages 14
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) online social networks
twitter spam
machine learning
class imbalance
Notes This publication is included in part 1 of the ACISP Australasian Congerence held 4-6 July, Melbourne, Vic.
ISBN 9783319402529
9783319402536
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-40253-6_13
Field of Research 080303 Computer System Security
080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2016, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30085794

Document type: Book Chapter
Collection: School of Architecture and Built Environment
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