Survey of active learning for networked data
Xinlei Wang, Bo Xiong Yang, Jing Huang · 2016
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.