Titlebook: Intelligent Exploration of the Web; Piotr S. Szczepaniak,Javier Segovia,Lotfi A. Zadeh Book 2003 Springer-Verlag Berlin Heidelberg 2003 We

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Neural Agent for Text Database Discovery we also propose the hierarchical organization of neural agents which reduces the total training cost at the acceptable level. Finally, we evaluate the performance of our approach by comparing it to those of the conventional well-known approaches.

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A Fuzzy System for the Web Page Representation the textual part of web pages, which are represented by a two-dimension vector. The vector components are sorted by the relevance of each word in the text. Two approaches, analytical and fuzzy, that take advantage of characteristics of the HTML language are presented to compute the word relevance.

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Flexible Representation and Retrieval of WEB Documentsexpressing soft selection conditions. The documents’ content is organized into thematic (topical) sections where the index terms play a distinct role. The proposed document representation is adaptive to the user, who can indicate the preferred sections of documents, i.e. those which they estimate to

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Intelligent Information Retrieval on the Webval needs. The tools fall generally into three different categories: general purpose search engines, specialized search engines, and personal search tools, which differ in user expectations. Two features, however, seem to be of great importance for each tool: the capability to cluster the retrieved

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Methods for Exploratory Cluster Analysisal display, for visualizing structures in the data. Different locations on the display correspond to different domains of the data space in an orderly fashion. The models used in the mapping are fitted to the data so that they approximate the data distribution nonlinearly but smoothly. In this paper