Modeling and Multiway Analysis of Chatroom Tensors

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 goodnessof-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].

• Type: Conference
• Year: 2005
• Where: ISI
• Authors: Evrim Acar, Seyit Ahmet Çamtepe, Mukkai S. Krishnamoorthy, Bülent Yener
• Keywords: Data Analysis, Data Analysis Techniques, ISI 2005, N-way Data