Individual and Collective Graph Mining: Principles, Algorithms and Applications

Morgan-Claypool Book

Individual and Collective Graph Mining: Principles, Algorithms and Applications

Authors: Danai Koutra, Christos Faloutsos

Link: https://www.morganclaypool.com/doi/10.2200/S00796ED1V01Y201708DMK014

Keywords: data mining, graph mining and exploration, graph similarity, graph matching, network alignment, graph summarization, pattern mining, outlier detection, anomaly detection, scalability, fast algorithms, visualization, social networks, brain graphs, connectomes

Citation (bibtex):

@book{KoutraF17,
  author    = {Danai Koutra and
               Christos Faloutsos},
  title     = {Individual and Collective Graph Mining: Principles, Algorithms and Applications},
  publisher = {Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool}, 
  year      = {2017},
  pages     = {206}
  }