지능정보연구 (Journal of Intelligence and Information Systems)

  • 제8권2호
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  • Pages.159-175
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  • 2002
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  • 2288-4866(pISSN)
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  • 2288-4882(eISSN)
한국지능정보시스템학회 (Korea Intelligent Information System Society)
권호 표지

성공적인 e-Business를 위한 인공지능 기법 기반 웹 마이닝

Web Mining for successful e-Business based on Artificial Intelligence Techniques

  • 이장희 (한국기술교육대학교 산업경영학부) ;
  • 유성진 (한국과학기술원 산업공학과 지식기반시스템 연구실) ;
  • 박상찬 (한국과학기술원 산업공학과 지식기반시스템 연구실)
  • 발행 : 2002.12.01
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초록

웹 마이닝은 e-Business 환경하에서 존재하는 대량의 웹 데이터에 데이터 마이닝 기법을 적용하여 유용하고 이해 가능한 정보를 추출해내는 과정을 의미하는데, 성공적인 e-Business전개를 위한 핵심적인 기술이다. 본 논문은 인공지능 기법에 기반한 웹마이닝 기술을 활용하여 e-Business상의 온라인 고객의 특성을 분석할 수 있는 data visualization system과 구매 판매 예측시스템의 효과적인 구조와 핵심적인 분석절차를 제안하였다.

Web mining is an emerging science of applying modem data mining technologies to the problem of extracting valid, comprehensible, and actionable information from large databases of web in e-Business environment and of using it to make crucial e-Business decisions. In this paper, we present the noble framework of data visualization system based on web mining for analyzing the characteristics of on-line customers in e-Business. We also propose the framework of forecasting system for providing the forecasting information of sales/purchase through the use of web mining based on artificial intelligence techniques such as back-propagation network, memory-based reasoning, and self-organizing map.

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참고문헌

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