Heuristic Approach for Client Structured Web Customer Segmentation Using Machine Learning Techniques
Keywords:
Machine learning, web data, segmentation, information system, customer dataAbstract
The customer segmentation in the web domain needs the data cleaning and improvisation process for the fundamental functionalities. The generic machine learning based customer segmentation produces the better results when compared with the direct clustering process. The immense implementation of machine learning based customer segmentation by considering the component based implementation approach with different types of customer segmentation must strengthen the goal with effective results. The existing customer segmentation methods lacks in the areas of scale, modification and verification. Applying machine learning as a whole is degraded in its efficiency when focusing on the each individual component incorporation of machine learning process. This research article proposes a component wise machine learning approach for the implementation of client structured web customer segmentation with the heuristic process based on their requirements of online web requests and responses. In near future this research article will be extended with the implementation of neural networks based customer segmentation in web information system.
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