Future of Information and Communication Conference (FICC) 2023
2-3 March 2023
Publication Links
IJACSA
Special Issues
Article Details
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.
The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition
Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.091007
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 10, 2018.
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}
}
