Construction of voice access clustering model for online shopping user groups based on electronic communication data mining algorithm

The traditional clustering method of online shopping user group visit neglects the extraction of user voice access features, which results in poor clustering effect. In order to improve the efficiency of online shopping, this paper constructs a cluster model of online shopping user access based on data mining algorithm of electronic communication. Finally, a weighted fuzzy C-means algorithm based on K-means is used to realize the access clustering of online shopping user groups. The results show that the F1 value of clustering model is higher than that of K mean, PAM and Clara model, which proves the application effect of the model.

[1]  Gang Xiong,et al.  A Multi-Stream Feature Fusion Approach for Traffic Prediction , 2022, IEEE Transactions on Intelligent Transportation Systems.

[2]  Zhiguo Ding,et al.  An EM-Based User Clustering Method in Non-Orthogonal Multiple Access , 2019, IEEE Transactions on Communications.

[3]  Wenbin Yao,et al.  SORD: a new strategy of online replica deduplication in Cloud-P2P , 2018, Cluster Computing.

[4]  Jian Li,et al.  Optimal design of transportation distance in logistics supply chain model based on data mining algorithm , 2018, Cluster Computing.

[5]  Heng Zhang,et al.  Construction of community life circle database based on high-resolution remote sensing technology and multi-source data fusion , 2020 .

[6]  Hongzhi Qian,et al.  Relay selection algorithm based on social network combined with Q-learning for vehicle D2D communication , 2019, IET Commun..

[7]  Rahim Umar,et al.  Multi-level construction of polar-coded single carrier-FDMA based on MIMO antennas for coded cooperative wireless communication , 2018, IET Commun..

[8]  Yi Xia,et al.  A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery , 2018, Cognitive Systems Research.

[9]  Gong Xun,et al.  Construction of evaluation system of sports talent training scheme based on data mining , 2018, Int. J. Reason. based Intell. Syst..

[10]  Tinghuai Ma,et al.  Community Detection Based on DeepWalk Model in Large-Scale Networks , 2020, Secur. Commun. Networks.

[11]  Lukun Wang,et al.  Intelligent Group Prediction Algorithm of GPS Trajectory Based on Vehicle Communication , 2021, IEEE Transactions on Intelligent Transportation Systems.

[12]  Hailei Zou,et al.  Clustering Algorithm and Its Application in Data Mining , 2020, Wirel. Pers. Commun..

[13]  Rahim Umar,et al.  Distributed polar-coded OFDM based on Plotkin’s construction for half duplex wireless communication , 2018 .

[14]  L. Arnaud,et al.  Experimental SAC305 Shear Stress–Strain Hysteresis Loop Construction Using Hall's One-Dimensional Model Based on Strain Gages Measurements , 2019, Journal of Electronic Packaging.

[15]  Yuanfeng Liu,et al.  Design of public bicycle scheduling model based on data mining algorithm , 2018, Int. J. Reason. based Intell. Syst..

[16]  Yan Wang,et al.  User online behavior based on big data distributed clustering algorithm , 2020 .

[17]  Gang Li,et al.  A Data Mining Algorithm based on Relevant Vector Machine of Cloud Simulation , 2018 .

[18]  Yinjiao Long.  Research on art innovation teaching platform based on data mining algorithm , 2018, Cluster Computing.