Influence of Data Source Features on Sequential Pattern Mining
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The article analyzes the influence of data source features on the number of sequetial parttern, which includes the number of customers, average transctions of sequences, average items of transctions, and number of different items. The model of single features influence is obtained. With the model, a primary jugdement can be got before mining.

    Reference
    Related
    Cited by
Get Citation

王翠青,陈未如,张静.数据源特性对序列模式挖掘结果的影响.计算机系统应用,2010,19(5):191-193

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 18,2009
  • Revised:September 11,2009
  • Adopted:
  • Online:
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063