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題 名 | 以人工類神經網路建構室內溫水游泳池之顧客流失模型分析研究=The Empirical Result of Churn Model on Swim Pool Using Artificial Neural Networks |
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作 者 | 周秋琴; 曾崑煇; 邱政鋒; | 書刊名 | 大仁學報 |
卷 期 | 30 2007.03[民96.03] |
頁 次 | 頁159-174 |
分類號 | 496.7 |
關鍵詞 | 顧客流失; 資料採礦; 人工類神經網路; 游泳池; Churn; Data mining; Artificial neural networks; Swim pool; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究的主要目的在於建立與評估人工類神經網路應用於室內游泳池之顧客流失模型,資料來源由臺中市美誼室內溫水游泳池所提供,共計575筆,在剔除資料不全與資料內容不合理的資料後,共有496筆。為了驗證模型的適用性,本研究之研究架構分為模型訓練階段與模型測試階段進行,並以80:20的比例隨機抽出訓練模型的樣本及測試模型的樣本個數;在第一階段之模型訓練階段,主要在建立人工類神經之顧客流失模型;而第二階段之模型測試階段,主要是利用先前建立好之模型,來預測未來可能流失顧客之正確率。研究分析工具為Vesta公司所出版的Q-net軟體。結果發現,利用人工類神經網路所建構之顧客流失模型,其整體正確判別率為54.09%,以男性、年齡介於30~40歲、會齡為1年、入會金額為8001~9000元、以現金繳款方式、居住在臺中市內之會員流失最為明顯。 |
英文摘要 | The purpose of this study was to establish and evaluate the artificial neural networks applying to churn model of Swim pool. The database, totally 575 records, was provided by May Ie Swim pool. After deleting the missing data and unreasonable data, there were 496 records totally. In order to verify the applicability of churn model, the research construction of this study was broken down as two stages of model training and model testing, and the samples of the training model and testing model were extracted randomly with the proportion of 80:20. In the model training stage of first, the churn model was built by artificial neural networks primarily. In the model testing stage of second, the correct rate of further churn customers was predicted by the model built previously. The analysis tool was Q-net published by Vesta Corp. The result found that whole correct classification rate was 54.09% in this churn model using artificial neural networks, and the significant characteristics of churn customer were the members of male, the age between 30-year-old and 40-year-old, the participation year of 1 year, the entrance fee of 8001~9000 dollar, living in Taichung city, and the method of payment of cash. |
本系統中英文摘要資訊取自各篇刊載內容。