In the vast field of E-Commerce and E-Business, the appropriate way of customer analysis is very much important to make a business more successful. In such modes of online business, the behavior of customers is analyzed through various processes of data analytics to effectively satisfy them will improved services. The behaviors of the customers can be well analyzed through their mouse movement patterns in a very exact manner. With that concern, this paper contributes to developing a model customer behavior analysis based on the mouse movement pattern. This helps in deriving or mining information and aids to predict customer activities in the E-Market. Typically, for the behavioral analysis, one of the effective data mining algorithms called decision tree algorithm and a classification technique called Multi-layer Neural Network techniques have been incorporated. Through these techniques, customer behaviors are exactly analyzed and determined. For experimentation and evaluation, some benchmark datasets are used and the results show that the proposed model produces better analysis than existing works.
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Raj Kannan, J., Sabitha, R., Karthik, S. et al. Mouse Movement Pattern Based Analysis of Customer Behavior (CBA-MMP) Using Cloud Data Analytics. Wireless Pers Commun (2020). https://doi.org/10.1007/s11277-020-07055-1
- Data analytics
- Customer behavior
- Mouse movement pattern
- Decision tree