By Hosagrahar Visvesvaraya Jagadish⋆ (auth.), David Cheung, Graham J. Williams, Qing Li (eds.)
This publication constitutes the refereed lawsuits of the fifth Pacific-Asia convention on wisdom Discovery and knowledge Mining, PAKDD 2001, held in Hong Kong, China in April 2001.
The 38 revised complete papers and 22 brief papers provided have been conscientiously reviewed and chosen from a complete of 152 submissions. The e-book deals topical sections on net mining, textual content mining, purposes and instruments, inspiration hierarchies, function choice, interestingness, series mining, spatial and temporal mining, organization mining, category and rule induction, clustering, and complicated subject matters and new methods.
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Extra info for Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16–18, 2001 Proceedings
On the other hand, ’Structural Mining’ focuses on knowledge discovery for the structure of the Web system, including the mining of the user preferences on Web browsing (Web usage mining), the usage of the different URLs in a particular Website (URL mining), external structure mining (for hyperlinks between different Web pages) and internal structure mining (within a particular Web page). Active research includes Spertus et al.  on internal structure mining and Pitkow  on Web usage mining.
Thereby, the extraction module can simply adapt pattern matching algorithm to extract all records. The extraction rule generalized from multiple string alignment has achieved 97% retrieval rate and 91% accuracy rate. The whole process requires no human intervention and training example. Comparing our algorithm to others, our approach is quick and expressive. It takes only three minutes to extract 140 Web 1 Other tags include