English  |  正體中文  |  简体中文  |  Post-Print筆數 : 11 |  Items with full text/Total items : 89686/119522 (75%)
Visitors : 23950799      Online Users : 149
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/69145
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/69145


    Title: The analysis of relationships in databases for rule derivation
    Authors: 陳良弼
    Chen,Arbee L. P.
    Yen,Show-Jane
    Contributors: 資科系
    Date: 1996-11
    Issue Date: 2014-08-21 15:01:45 (UTC+8)
    Abstract: Owing to the rapid growth in the sizes of databases, potentially useful information may be embeded in a large amount of data. Knowledge discovery is the search for semantic relationships which exist in large databases. One of the main problems for knowledge discovery is that the number of possible relationships can be very large, thus searching for interesting relationships and reducing the search complexity are important. The relationships can be represented as rules which can be used in efficient query processing. We present a technique to analyze relationships among attribute values and to derive compact rule set. We also propose a mechanism and some heuristics to reduce the search complexity for the rule derivation process. An evaluation model is presented to evaluate the quality of the derived rules. Moreover, in real world, databases may contain uncertain data. We also propose a technique to analyze the relationships among uncertain data and derive probabilistic rules.
    Relation: Journal of Intelligent Information Systems,7(3),235-259
    Data Type: article
    Appears in Collections:[資訊科學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML1052View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    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。
    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。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback