A Metadata-Assisted Cascading Ensemble Classification Framework for Automatic Annotation of Open IoT Data-Reference-Cited by-同舟云学术

A Metadata-Assisted Cascading Ensemble Classification Framework for Automatic Annotation of Open IoT Data

Published:2023-08-01 Issue:15 Volume:10 Page:13401-13413
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Montori Federico¹^ORCID,Liao Kewen²^ORCID,De Giosa Matteo³,Jayaraman Prem Prakash⁴^ORCID,Bononi Luciano¹^ORCID,Sellis Timos⁵^ORCID,Georgakopoulos Dimitrios⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, University of Bologna, Bologna, Italy

2. Discipline of Information Technology, Peter Faber Business School, Australian Catholic University, Sydney, NSW, Australia

3. Department of Informatics, Systems and Communication, University of Milano–Bicocca, Milan, Italy

4. Department of Computing Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia

5. Archimedes Research Unit on AI, Data Science and Algorithms, Athena Research and Innovation Center, Marousi, Greece

Funder

Australian Government through the Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10194321/10087294.pdf?arnumber=10087294

Reference41 articles.

1. A large-scale evaluation of automated metadata inference approaches on sensors from air handling units

2. Ensemble-based classifiers

3. Classification in the Presence of Label Noise: A Survey

4. Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking

5. Cascading an Emerging Pattern Based Classifier

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