2004
DOI: 10.1016/j.eswa.2004.06.009
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A text mining approach on automatic generation of web directories and hierarchies

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Cited by 44 publications
(23 citation statements)
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“…To automatically generate a Web directory and identify directory labels, a self-organizing map approach was proposed that built up the relationships among Web pages and extracted category labels (Yang & Lee, 2003). The approach recursively generated superclusters via congregating neighboring neurons, then created the hierarchical structure of the Web directories; however, the directory generated by this approach tends to include "noisy content."…”
Section: Development Of Web Directoriesmentioning
confidence: 99%
“…To automatically generate a Web directory and identify directory labels, a self-organizing map approach was proposed that built up the relationships among Web pages and extracted category labels (Yang & Lee, 2003). The approach recursively generated superclusters via congregating neighboring neurons, then created the hierarchical structure of the Web directories; however, the directory generated by this approach tends to include "noisy content."…”
Section: Development Of Web Directoriesmentioning
confidence: 99%
“…In Ref. 39, a method to automatically create Web directories and their structure is presented. In Ref.…”
Section: Information Gathering Based On F Lwa In a Multi-agent Systemmentioning
confidence: 99%
“…Text mining is a knowledge discovery technology that enables researchers to discern patterns and trends based on unstructured text. It is possible to extract hidden knowledge using approaches such as natural language analysis, information retrieval, information extraction, and data mining [17,[39][40][41][42][43][44][45][46]. Patent documents contain lengthy and rich explanations in technical and legal terminologies [47,48].…”
Section: Topic Modeling Of Patentsmentioning
confidence: 99%