Web mining techniques have been frequently used to obtain meaningful information from the web based data. The aim of this paper is how web mining implemented to improve the hotel customer services by analyzing web-based hotel customer data. The complete work has been done by using PolyAnalyst web data mining tool. This paper demonstrates the use of web mining techniques in hotel industry.

Data mining has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the raw data. This study has proposed a brand new and practical fuzzy analytic network process (FANP) based weighted RFM (Recency, Frequency, Monetary value) model for application in K-means algorithm for auto insurance customers’ segmentation. The developed met...

Today ,Banks to survive and grow it becomes critical to manage customers, build and maintain a healthy relationship with customers. Data Mining in Banks can play a significant role for customer relationship Management. The areas in which Data mining Tools can be used in the banking industry are customer segmentation, Banking profitability, credit scoring and approval, Predicting payment from Cu...

For the success of CRM, it is important to target the most profitable customers of a company. Many CRM researches have been performed to calculate customer profitability and develop a comprehensive model of it. Most of them, however, had some limitations and accordingly the customer segmentation based on the customer profitability model is still underutilized. This paper aims at providing an ea...

This research aimed on prediction of customer loyalty (Non loyal or Loyal) using the application of data mining in microfinance that helps to build a classification model which supports during loan decision making in the organization. In this study a classification model is built based on the loan data obtained from Joshua Multi Purpose Limited Liability Cooperative (JMPLLC). Experiments using ...