An empirical study of supervised email classification in Internet of Things: Practical performance and key influencing factors-Reference-Cited by-同舟云学术

An empirical study of supervised email classification in Internet of Things: Practical performance and key influencing factors

Published:2021-08-17 Issue:1 Volume:37 Page:287-304
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Li Wenjuan¹²^ORCID,Ke Lishan³^ORCID,Meng Weizhi¹⁴^ORCID,Han Jinguang⁵^ORCID

Affiliation:

1. Institute of Artificial Intelligence and Blockchain Guangzhou University Guangdong China

2. Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hong Kong China

3. School of Mathematics and Information Science Guangzhou University Guangdong China

4. Department of Applied Mathematics and Computer Science Technical University of Denmark Lyngby Denmark

5. Jiangsu Provincial Key Laboratory of E‐Business Nanjing University of Finance and Economics Nanjing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22625

Reference50 articles.

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2. 451 Research. Accessed September 2020.https://www.iot-now.com/tag/451-research/

3. LiW MengW TanZ XiangY. Towards designing an email classification system using multi‐view based semi‐supervised learning. Proceedings of TrustCom;2014:174‐181.

4. ShcherbakovaT VergelisM. Spam report: February 2014; March2014.http://securelist.com/analysis/monthly-spam-reports/58559/spam-report-february-2014/

5. BrutlagJ MeekC. Challenges of the email domain for text classification. Proceedings of ICML;2000:103‐110.

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