Collective Classification Techniques: An Experimental Study

@inproceedings{Kajdanowicz2012CollectiveCT,
  title={Collective Classification Techniques: An Experimental Study},
  author={Tomasz Kajdanowicz and Przemyslaw Kazienko and Marcin Janczak},
  booktitle={ADBIS Workshops},
  year={2012}
}
Collective classification is the area in machine learning, in which unknown nodes in the network are classified based on the classes assigned to the known nodes and the network structure only. Three collective classification algorithms were described and examined in the paper: Iterative Classification (ICA), Gibbs Sampling (GS) and Loopy Belief Propagation… CONTINUE READING