Applications of Data Mining on Loyal Customer-An Example in Retail Coupon
碩士 === 銘傳大學 === 應用統計與資料科學學系碩士班 === 106 === The retail industry has provided diversified supplies and diversified services. It has become an inseparable part of the customer's life. Living in a Rapidly Changing Society, many stores industry meet customer requests and improve the ascendancy. Ma...
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| Format: | Others |
| Language: | zh-TW |
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2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/buf2uq |
| Summary: | 碩士 === 銘傳大學 === 應用統計與資料科學學系碩士班 === 106 === The retail industry has provided diversified supplies and diversified services. It has become an inseparable part of the customer's life. Living in a Rapidly Changing Society, many stores industry meet customer requests and improve the ascendancy. Many stores industry launch many promotional activities caused promotional weakness.
He success of the marketing strategies of a retail business necessitates not only the efficacy of the decisions but also costumer retention and loyalty. This research aims to build a model in order to predict which customers repurchase and become loyal by analyzing past retail sales history through data mining under the condition of using coupons during a sales campaign. This study used the decision trees and Logistic regression of WEKA was data analysis. The best model was REPTree model. The results can be provided to other retail companies for their business decisions.
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