Using Social Network Classifiers for Predicting E-Commerce Adoption

著录项

• 来源
  《E-Life: web-enabled convergence of commerce, work, and social life》|2011年|p.9-21|共13页
• 会议地点 Shanghai(CN);Shanghai(CN)
• 作者

  Thomas Verbraken; Frank Goethals; Wouter Verbcke; Bart Bacscns;

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• 作者单位

  Katholieke Universiteit Leuven, Department of Decision Sciences and Information Management, Naamsestraat 69, 3000 Leuven, Belgium;

  IESEG School of Management (LEM-CNRS), IS Department, Lille, France;

  Katholieke Universiteit Leuven, Department of Decision Sciences and Information Management, Naamsestraat 69, 3000 Leuven, Belgium;

  Katholieke Universiteit Leuven, Department of Decision Sciences and Information Management, Naamsestraat 69, 3000 Leuven, Belgium,School of Management, University of Southampton,Highfield Southampton, SO17 1BJ, United Kingdom;

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• 会议组织
• 原文格式 PDF
• 正文语种 eng
• 中图分类 电子贸易、网上贸易;
• 关键词

  E-commerce adoption; social network analysis; classification; data mining;

  机译：电子商务的采用；社交网络分析；分类;数据挖掘;