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Research Article | Open Access |

The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition

Author 1: Bilius Laura Bianca
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 10 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.091007

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Abstract

Tensor decompositions represent a start for big data analysis and a start in reduction of dimensionality, object detection, clustering and so on. This paper presents a method to study the behavior of users in the online environment and beyond. A beginning for analyzing this type of data is uniting the Parafac Tensor Decomposition and the Block Term Decomposition.

Keywords

Parafac decomposition block term decomposition clustering

How to Cite this Article

Bianca, B. L. (2018). The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition. International Journal of Advanced Computer Science and Applications, 9(10). https://doi.org/10.14569/IJACSA.2018.091007

Bianca, Bilius Laura. "The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition." International Journal of Advanced Computer Science and Applications, vol. 9, no. 10, 2018, https://doi.org/10.14569/IJACSA.2018.091007.

@article{Bianca2018,
  title     = {The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {10},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Bilius Laura Bianca},
  doi       = {10.14569/IJACSA.2018.091007},
  url       = {https://doi.org/10.14569/IJACSA.2018.091007}
}

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