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Using machine learning techniques for automatic evaluation of Web sitesZorman, Milan ...In this paper we present the intelligent search tool, which we developed order to automate search and evaluation of Web sites. We used TFIDF heuristics to determine term frequency and decision trees ... to evaluate the quality sites. Training set for the decision tree contained manualy evaluated Web sites. Each Web site was described by the combination of various attributes, complexity metrics and the evaluation. The intelligent search tool is equipped with the user-friendly interface, which enables people to exploit the tool to its limits with minimum effort. For testing purposes, we looked for sites with different content. The set of sites, which was the result of using intelligent search tool has been evaluated by a group of students.Source: Proceedings : Third International Conference on Computational Intelligence and Multimedia Applications : ICCIMA '99, September 23-26, 1999, New Delhi, India (str. 169-173)Type of material - conference contributionPublish date - 1999Language - englishCOBISS.SI-ID - 6858006
Author
Zorman, Milan |
Podgorelec, Vili, 1972- |
Kokol, Peter, 1957- |
Hleb Babič, Špela
Topics
algoritmi |
odločitvena drevesa |
TFIDF
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Zorman, Milan | 17876 |
Podgorelec, Vili, 1972- | 16304 |
Kokol, Peter, 1957- | 03782 |
Hleb Babič, Špela | 15327 |
Source: Personal bibliographies
and: SICRIS
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