Data Mining & Electronic Commerce

Maurice Mulvenna, AG Büchner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Many users of the Internet are aware that each time they connect to an on-line shopping server, they leave behind a ‘footprint’ in the site’s server logs. The information contained in this footprint is innocuous, but it can be ‘mined’. Data mining is the ‘non-trivial process of identifying valid, novel, potentially useful and ultimately understandable patterns in data’. This paper outlines the types of data available for mining, describes operation and limitations of the mining algorithms, and discusses the marketing and ethical issues that arise.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherEUMED.NET
Number of pages7
Publication statusAccepted/In press - 25 Apr 1997
EventOvercoming Barriers to Electronic Commerce (OBEC-97) - Malaga, Spain
Duration: 25 Apr 1997 → …

Conference

ConferenceOvercoming Barriers to Electronic Commerce (OBEC-97)
Period25/04/97 → …

Keywords

  • Electronic commerce
  • data mining

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  • Cite this

    Mulvenna, M., & Büchner, AG. (Accepted/In press). Data Mining & Electronic Commerce. In Unknown Host Publication EUMED.NET.