Applying Neural Network to Web Mining
碩士 === 南華大學 === 資訊管理學研究所 === 91 === In this thesis, we apply widely-used data mining techniques, neural network, in the user’s characteristics of classification on WWW. In this proposed method, we first utilize feature weight detector networks to discover the reliable features from mass and comple...
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| Format: | Others |
| Language: | en_US |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/60882080051232983173 |
| Summary: | 碩士 === 南華大學 === 資訊管理學研究所 === 91 === In this thesis, we apply widely-used data mining techniques, neural network, in the user’s characteristics of classification on WWW. In this proposed method, we first utilize feature weight detector networks to discover the reliable features from mass and complex training data on WWW. Secondly, we use the proportional learning vector quantization network to learn the appropriate centroid of each cluster. Finally, we apply radial basis function network associated with the centroid of clusters to classify the test data. We in advance partition the data set into several data sections that are used in experiments according to session length. Experimental result show that it has better classification result than ones using overall data set.
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