Modeling and multiway analysis of chatroom tensors

  • Authors:
  • Evrim Acar;Seyit A. Çamtepe;Mukkai S. Krishnamoorthy;Bülent Yener

  • Affiliations:
  • Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY

  • Venue:
  • ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
  • Year:
  • 2005

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Abstract

This work identifies the limitations of n-way data analysis techniques in multidimensional stream data, such as Internet chatroom communications data, and establishes a link between data collection and performance of these techniques. Its contributions are twofold. First, it extends data analysis to multiple dimensions by constructing n-way data arrays known as high order tensors. Chatroom tensors are generated by a simulator which collects and models actual communication data. The accuracy of the model is determined by the Kolmogorov-Smirnov goodness-of-fit test which compares the simulation data with the observed (real) data. Second, a detailed computational comparison is performed to test several data analysis techniques including svd [1], and multiway techniques including Tucker1, Tucker3 [2], and Parafac [3].