Abstract
Web mining aims to learn regularities automatically in the World Wide Web for retrieving useful information. In spite of the enormous potential of soft computing techniques like neural networks (NN) for web mining, their use has been very restricted to date. Our work examines and discusses the application of unsupervised NN to group retrieval results in a novel meta- searcher.
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Bermejo, S., Dalmau, J. (2003). Web Meta-search using Unsupervised Neural Networks. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_90
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DOI: https://doi.org/10.1007/3-540-44869-1_90
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