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DOI: 10.14569/IJACSA.2018.091007
PDF

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), Volume 9 Issue 10, 2018.

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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

Bilius Laura Bianca, “The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition” International Journal of Advanced Computer Science and Applications(IJACSA), 9(10), 2018. http://dx.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},
doi = {10.14569/IJACSA.2018.091007},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091007},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {10},
author = {Bilius Laura Bianca}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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