政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/69150
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文筆數/總筆數 : 113822/144841 (79%)
造訪人次 : 51838297      線上人數 : 170
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋
    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/69150


    請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/69150


    題名: A Graph-Based Approach for Discovering Various Types of Association Rules
    作者: 陳良弼
    Yen,Show-Jane;Chen,Arbee L.P.
    貢獻者: 資科系
    關鍵詞: Data mining;knowledge discovery;association rule;association pattern;graph-based approach
    日期: 2001-09
    上傳時間: 2014-08-21 15:08:51 (UTC+8)
    摘要: Mining association rules is an important task for knowledge discovery. We can analyze past transaction data to discover customer behaviors such that the quality of business decision can be improved. Various types of association rules may exist in a large database of customer transactions. The strategy of mining association rules focuses on discovering large itemsets, which are groups of items which appear together in a sufficient number of transactions. In this paper, we propose a graph-based approach to generate various types of association rules from a large database of customer transactions. This approach scans the database once to construct an association graph and then traverses the graph to generate all large itemsets. Empirical evaluations show that our algorithms outperform other algorithms which need to make multiple passes over the database.
    關聯: IEEE Transactions on Knowledge and Data Engineering (EI,SCI),13(5),839-845
    資料類型: article
    顯示於類別:[資訊科學系] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    839-845.pdf360KbAdobe PDF2722檢視/開啟


    在政大典藏中所有的資料項目都受到原著作權保護.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋