中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/51751
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 66984/66984 (100%)
Visitors : 22649012      Online Users : 269
RC Version 7.0 © 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


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51751


    Title: DISCOVERING ACCURATE AND COMMON CHARACTERISTIC RULES FROM LARGE TABLES
    Authors: Liu,YC;Hsu,PY
    Contributors: 企業管理學系
    Keywords: DECISION TREES;PERSPECTIVE
    Date: 2011
    Issue Date: 2012-03-27 19:04:36 (UTC+8)
    Publisher: 國立中央大學
    Abstract: With the wide installation of eBusiness and database software in enterprises, mountains of data are accumulating in the form of relational tables. Discovering valuable information from the sea of data is of interest to researchers and managers worldwide. In this paper, an algorithm is proposed to find characteristics from a large database table. It can be applied to find characteristics of customers in a particular segments or the characteristics of patients, ..., etc. In contrast to traditional data generalization or induction methods, the proposed new method, named Char, does not need a concept tree in advance and can generate a manual set of characteristic rules that are precise enough to describe the main characteristics of the data. The simulation results show that the characteristic rules found by Char are efficient as well as consistent regardless of the number of records and of attributes in the dataset.
    Relation: INTELLIGENT AUTOMATION AND SOFT COMPUTING
    Appears in Collections:[Department of Business Administration ] journal & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML458View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明