article · 2007

Mining Web Access Logs of an On-line

Newspaper Paulo Batista, Paulo Batista, Mário J. Silva, Campo Grande

Cited by 0Abstract and details only

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, N. P., Batista, P., Silva, M. J., & Grande, C. (2007). Mining Web Access Logs of an On-line.

MLA 9

Batista, Newspaper Paulo, et al. “Mining Web Access Logs of an On-line.” 2007.

Chicago

Batista, Newspaper Paulo, Paulo Batista, Mário J. Silva, and Campo Grande. 2007. “Mining Web Access Logs of an On-line.”

Harvard

Batista, N.P. et al. (2007) ‘Mining Web Access Logs of an On-line’.

BibTeX

@article{batista2007mining,
  title = {{Mining Web Access Logs of an On-line}},
  author = {Batista, Newspaper Paulo and Batista, Paulo and Silva, Mário J. and Grande, Campo},
  year = {2007}
}

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