Modeling and multiway analysis of chatroom tensors
Contribuinte(s) |
Kantor, P. Muresan, G. Roberts, F. |
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Data(s) |
01/05/2005
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Resumo |
This work identifies the limitations of n-way data analysis techniques in multidimensional stream data, such as Internet chat room 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. Chat room 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 multi-way techniques including Tucker1, Tucker3 [2], and Parafac [3]. |
Identificador | |
Publicador |
Springer, Heidelberg |
Relação |
DOI:10.1007/11427995_21 Acar, Evrim, Camtepe, Seyit A., Krishnamoorthy, Mukkai S., & Yener, Bulent (2005) Modeling and multiway analysis of chatroom tensors. Lecture Notes in Computer Science : Intelligence and Security Informatics, 3495, pp. 256-268. |
Fonte |
School of Electrical Engineering & Computer Science; Information Security Institute; Science & Engineering Faculty |
Palavras-Chave | #080202 Applied Discrete Mathematics #080299 Computation Theory and Mathematics not elsewhere classified #social networks #chatroom analysis #n-way analysis #high order sensors |
Tipo |
Journal Article |