Performance Analysis of User Behavior Pattern Mining Using Web Log Database for User Identification

Author:

Gokulapriya R.,Ganesh Kumar R.

Publisher

Springer Nature Singapore

Reference12 articles.

1. Aldubai AF, Humbe VT, Chowhan SS (2017) Analytical study of intruder detection system in big data environment. In: Soft computing: theories and applications: proceedings of SoCTA 2016, vol 1, pp 405–583

2. Anandhi D, Irfan Ahmed MS (2017) Prediction of user’s type and navigation pattern using clustering and classification algorithms. Cluster Comput 1–10. Springer

3. Adeniyi DA, Wei Z, Yongquan Y (2016) Automated web usage data mining and recommendation system using K-Nearest Neighbor (KNN) classification method. Appl Comput Inf 12(1):90–108. Elsevier

4. Xing L, Deng K, Wu H, Xie P, Gao J (2019) Behavioral habits-based user identification across social networks. Symmetry J 11(9):1–19

5. Deng K, Xing L, Zheng L, Wu H, Xie P, Gao F (2019) A user identification algorithm based on user behavior analysis in social networks. Appl Big Data Soc Sci, IEEE Access 7:47114–47123

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