學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 運用資料挖掘技術探索顧客購買圖書特性
其他題名 Applying Data Mining Approach to Explore Characteristics of Customers` Publications Purchasing
作者 丁台怡 ; 魏莞婷 ; 江志民 ; 郭訓志
Ting, Tai-I ; Wei, Wan-Ting ; Chiang, Chih-Ming ; Kuo, Hsun-Chih
貢獻者 統計系
關鍵詞 關聯規則,購物籃分析,資料挖掘
日期 2011.12
上傳時間 27-May-2014 15:13:58 (UTC+8)
摘要 本文旨在探討顧客在購買圖書時的特性及行為,以作為出版商在通路、擺放、綁售等行銷策略擬定時的參考,以提高圖書銷售營業額。本研究收集某雜誌出版業者自2010年下半年的顧客交易資料,透過資料挖掘中的關聯規則技術來探索圖書消費市場潛在的特性,透過購物籃(market basket)分析概念,用以瞭解顧客在購買圖書時,不同屬性出版品間可能的潛在關聯性,作為未來交叉銷售實務上有效建議。研究結果顯示,本次研究透過購物籃分析篩選出最佳的十組組合,包括3C數位商品與財經雜誌的組合、生活家電用品與養生雜誌組合等,出版商可以最佳組合搭配特殊節日或節氣、新聞議題、熱門與冷門產品、每個區域的消費習性等方式交叉銷售或擺放,以達到提昇銷售目的。
Purpose of this study was to explore customers purchase publications behavioral and relations for selling strategy. The item association in market basket by using association information clustering method, and understand the customer attribute when purchase publications, thus complete the classification of data mining, as practical recommendations for cross-selling. In this study, customer transaction data was collected from a magazine publishing company during the second half of 2010. The results of the research show that 10 optimal combinations was identified by market basket analysis, publishers can use these best combinations with special holidays, news topics, hot and cold products, the consumption habits of each region to make cross-sale or display, etc., in order to improve sales.
關聯 Journal of Data Analysis, 6(6), 147-157
資料類型 article
dc.contributor 統計系en_US
dc.creator (作者) 丁台怡 ; 魏莞婷 ; 江志民 ; 郭訓志zh_TW
dc.creator (作者) Ting, Tai-I ; Wei, Wan-Ting ; Chiang, Chih-Ming ; Kuo, Hsun-Chihen_US
dc.date (日期) 2011.12en_US
dc.date.accessioned 27-May-2014 15:13:58 (UTC+8)-
dc.date.available 27-May-2014 15:13:58 (UTC+8)-
dc.date.issued (上傳時間) 27-May-2014 15:13:58 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/66312-
dc.description.abstract (摘要) 本文旨在探討顧客在購買圖書時的特性及行為,以作為出版商在通路、擺放、綁售等行銷策略擬定時的參考,以提高圖書銷售營業額。本研究收集某雜誌出版業者自2010年下半年的顧客交易資料,透過資料挖掘中的關聯規則技術來探索圖書消費市場潛在的特性,透過購物籃(market basket)分析概念,用以瞭解顧客在購買圖書時,不同屬性出版品間可能的潛在關聯性,作為未來交叉銷售實務上有效建議。研究結果顯示,本次研究透過購物籃分析篩選出最佳的十組組合,包括3C數位商品與財經雜誌的組合、生活家電用品與養生雜誌組合等,出版商可以最佳組合搭配特殊節日或節氣、新聞議題、熱門與冷門產品、每個區域的消費習性等方式交叉銷售或擺放,以達到提昇銷售目的。en_US
dc.description.abstract (摘要) Purpose of this study was to explore customers purchase publications behavioral and relations for selling strategy. The item association in market basket by using association information clustering method, and understand the customer attribute when purchase publications, thus complete the classification of data mining, as practical recommendations for cross-selling. In this study, customer transaction data was collected from a magazine publishing company during the second half of 2010. The results of the research show that 10 optimal combinations was identified by market basket analysis, publishers can use these best combinations with special holidays, news topics, hot and cold products, the consumption habits of each region to make cross-sale or display, etc., in order to improve sales.en_US
dc.format.extent 867621 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Journal of Data Analysis, 6(6), 147-157en_US
dc.subject (關鍵詞) 關聯規則,購物籃分析,資料挖掘en_US
dc.title (題名) 運用資料挖掘技術探索顧客購買圖書特性zh_TW
dc.title.alternative (其他題名) Applying Data Mining Approach to Explore Characteristics of Customers` Publications Purchasingen_US
dc.type (資料類型) articleen