article · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2002

Mining Web Access Logs of an On-line Newspaper

Cited by 31Open access

Abstract

With the explosive growth of data available on the Internet, personalization of this information space become a necessity. An important component of web personalization is the automatic knowledge extraction from web log files. However, analysis of large web log files is a complex task not fully addressed by existing web access analyzers. Using commercial software, we applied well-known data mining techniques (association rules and clustering) to analyze access log records collected on a web newspaper. This paper identifies several reading patterns and discusses approaches for mining this data.

Cite this paper

APA 7

Batista, P., & Silva, M. J. (2002). Mining Web Access Logs of an On-line Newspaper. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).

MLA 9

Batista, Paulo, and Mário J. Silva. “Mining Web Access Logs of an On-line Newspaper.” Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT), 2002.

Chicago

Batista, Paulo, and Mário J. Silva. 2002. “Mining Web Access Logs of an On-line Newspaper.” Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).

Harvard

Batista, P. and Silva, M.J. (2002) ‘Mining Web Access Logs of an On-line Newspaper’, Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).

BibTeX

@article{batista2002mining,
  title = {{Mining Web Access Logs of an On-line Newspaper}},
  author = {Batista, Paulo and Silva, Mário J.},
  journal = {Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)},
  year = {2002}
}

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