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

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.

Authors and Affiliations

Bilius Laura Bianca

Keywords

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  • EP ID EP406801
  • DOI 10.14569/IJACSA.2018.091007
  • Views 114
  • Downloads 0

How To Cite

Bilius Laura Bianca (2018). The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition. International Journal of Advanced Computer Science & Applications, 9(10), 55-60. https://europub.co.uk/articles/-A-406801