MapReduce Approach to Collective Classification for Networks

  • Wojciech Indyk
  • Tomasz Kajdanowicz
  • Przemysław Kazienko
  • Sławomir Plamowski
Conference paper

DOI: 10.1007/978-3-642-29347-4_76

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7267)
Cite this paper as:
Indyk W., Kajdanowicz T., Kazienko P., Plamowski S. (2012) MapReduce Approach to Collective Classification for Networks. In: Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L.A., Zurada J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science, vol 7267. Springer, Berlin, Heidelberg

Abstract

The collective classification problem for big data sets using MapReduce programming model was considered in the paper. We introduced a proposal for implementation of label propagation algorithm in the network. The method was examined on real dataset in telecommunication domain. The results indicated that it can be used to classify nodes in order to propose new offerings or tariffs to customers.

Keywords

MapReduce collective classification classification in networks label propagation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Wojciech Indyk
    • 1
  • Tomasz Kajdanowicz
    • 1
  • Przemysław Kazienko
    • 1
  • Sławomir Plamowski
    • 1
  1. 1.Faculty of Computer Science and ManagementWroclaw University of TechnologyWroclawPoland

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