Compare Two Web Mining Algorithm for Commodity Price
Jin Qian · Microelectronics & Computer · 2011
Commodities price of others e-supermarkets is the most important data for the shopkeepers of shop online.This requirement becomes actuality because of the Web mining developing very fast.The algorithm based on regular expression and the extract algorithm for directory tree of Website,commodities name on the Webpage and commodities price based on participle are described in detailed respectively.All of them depend on the researched of the regular expression and the participle algorithm.The implementation shows that the lower average full rate and accuracy rate is got from regular expression algorithm.However,the participle algorithm can get more than ninety nine percent of average full rate and accuracy rate.The results show as by this way can touch the shopkeepers minds,and it can support the originality data for the commodities markets and forecast analysis.