Wrappers for web access logs feature selection

Maria Muntean; Honoriu Vălean

doi:10.1145/2254129.2254156

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Wrappers for web access logs feature selection

Maria Muntean Honoriu Vălean

Year: 2012 Pages: 1-7

DOI: 10.1145/2254129.2254156

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Abstract

The Web Usage Mining (WUM), a rather recent research field, corresponds to the process of knowledge discovery from databases (KDD) applied to the Web usage data. The quantity of the Web usage data to be analyzed and its poor quality (in particular the abundance of features to be analyzed) are the main problems in WUM.

Keywords:

Computer science Web mining Field (mathematics) Knowledge extraction Feature selection Selection (genetic algorithm) World Wide Web Process (computing) Data mining Data science Web service Artificial intelligence

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Topics

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Web Data Mining and Analysis

Physical Sciences → Computer Science → Information Systems

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Wrappers for web access logs feature selection

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