English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 94586/125118 (76%)
Visitors : 30489521      Online Users : 392
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 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/65454
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/65454

    Title: Mining Sequential Patterns in Business-to-business(B2B) Environment
    Authors: 唐揆
    Hu, Ya-Han;Chen, Yen-Liang;Tang, Kwei
    Contributors: 企管系
    Keywords: business-to-business;data mining;sequential pattern
    Date: 2009.12
    Issue Date: 2014-04-17 12:39:09 (UTC+8)
    Abstract: Sequential pattern mining is a powerful data mining technique for finding time-related behaviour in sequence databases. In this paper, we focus on mining sequential patterns in the business-to-business (B2B) environment. Because customers’ sequences in the B2B environment are very long, and almost all items are frequently purchased by all customers, using traditional methods may result in a large number of uninteresting and meaningless patterns and a long computational time. To solve these problems, we introduce three conditions (constraints) — compactness, repetition, and recency — and consider them jointly with frequency in selecting sequential patterns. An efficient algorithm is developed to discover frequent sequential patterns which satisfy the conditions. Empirical results show that the proposed method is computationally efficient and effective in extracting useful sequential patterns in the B2B environment.
    Relation: Journal of Information Science,35(6),677-694
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1177/0165551509103600
    DOI: 10.1177/0165551509103600
    Appears in Collections:[企業管理學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    677-694.pdf253KbAdobe PDF728View/Open

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

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback