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          試述SPSS Clementine決策樹建模在圖書館中的應用

          導讀:SPSS Clementine決策樹建模在圖書館中的應用求較大,大四學生借閱需求小。決策樹分類能對圖書館讀者進行細分,可為調整讀者借閱權限提供理論依據。  關鍵詞: 決策樹; 分類; 圖書館; Clementine; 借閱權限  1006-8228(2014)04-30-04  Abstract: The factors influencing readers' borrowing amount are analyzed and different readers' boSPSS Clementine決策樹建
          SPSS Clementine決策樹建模在圖書館中的應用摘 要: 分析影響讀者借閱量的因素,確定不同讀者的借閱需求,進而依據需求****差異化的借閱權限和服務。利用SPSS Clementine挖掘工具,采用C5.0決策樹算法,對國際關系學院圖書館的讀者借閱數據進行挖掘,建立讀者決策樹分類模型,將讀者按借閱頻度分為活躍讀者、一般讀者和沉默讀者。結果表明,讀者身份、專業、年級和性別對借閱量有重要影響,本科大三學生借閱需求較大,大四學生借閱需求小。決策樹分類能對圖書館讀者進行細分,可為調整讀者借閱權限提供理論依據。
            關鍵詞: 決策樹; 分類; 圖書館; Clementine; 借閱權限
            1006-8228(2014)04-30-04
            Abstract: The factors influencing readers' borrowing amount are analyzed and different readers' boSPSS Clementine決策樹建模在圖書館中的應用相關范文由寫論文的好幫手http://www.beijingfeeling.com提供,轉載請保留****.rrowing demand are determined. The differential borrowing authority and service are customized. A decision tree classification model of reader borrowing frequency is built with C5.0 in mining tool of SPSS Clementine. The decision tree classifies readers into three groups: activing readers, common readers and silent readers. The mined data come from reader borrowing records of the library of university of international relations. The results show readers' identity, major, grade and gender have an important effect on borrowing amount. The borrowing demand of junior students is great, while that of senior students is **all. The library readers may be classified by refering to decision tree classification to provide theoretical evident f
          上一篇論文:闡述圖書館卡片式讀者信息檔案的數字化管理 下一篇論文:淺論櫥窗廣告在圖書館的運用
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