Survey of active learning for networked data

DOI

10.2991/nceece-15.2016.195How to use a DOI?

Keywords

Active Learning; Networked Data; Classification; Machine Learning

Abstract

Classification in networked data is a popular research of complex network. Because of the large scale of networked data and the shortage of training data, active learning, which is an effective classification method for sparse data in machine learning, is often applied to networked data classification problems. Introduced in this paper are classification methods based on active learning for networked data classification problems with basic concepts and algorithms. Finally, according to the existing research, some problems for the future developing and research of networked data classification issues is presented.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinlei Wang
AU  - Bo Yang
AU  - Jing Huang
PY  - 2015/12
DA  - 2015/12
TI  - Survey of active learning for networked data
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1100
EP  - 1104
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.195
DO  - 10.2991/nceece-15.2016.195
ID  - Wang2015/12
ER  -