Data Mining & Electronic Commerce

Maurice Mulvenna, AG Büchner

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

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
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 → …

Fingerprint

Electronic commerce
Data mining
Servers
Marketing
Internet

Keywords

  • Electronic commerce
  • data mining

Cite this

Mulvenna, M., & Büchner, AG. (Accepted/In press). Data Mining & Electronic Commerce. In Unknown Host Publication
Mulvenna, Maurice ; Büchner, AG. / Data Mining & Electronic Commerce. Unknown Host Publication. 1997.
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title = "Data Mining & Electronic Commerce",
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.",
keywords = "Electronic commerce, data mining",
author = "Maurice Mulvenna and AG B{\"u}chner",
year = "1997",
month = "4",
day = "25",
language = "English",
booktitle = "Unknown Host Publication",

}

Mulvenna, M & Büchner, AG 1997, Data Mining & Electronic Commerce. in Unknown Host Publication. Overcoming Barriers to Electronic Commerce (OBEC-97), 25/04/97.

Data Mining & Electronic Commerce. / Mulvenna, Maurice; Büchner, AG.

Unknown Host Publication. 1997.

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

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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Mulvenna M, Büchner AG. Data Mining & Electronic Commerce. In Unknown Host Publication. 1997