W09-3529 our non-standard runs , we use a Web-mining module to boost the performance
D08-1040 They support this method with a Web-mining technique to improve the performance
P02-1054 4.1 Querying the Web We use a Web-mining algorithm that considers the
W09-3529 Table 1 . It is confirmed that Web-mining module boosted the performance
J05-4003 Smith ( 2003 ) . Their STRAND Web-mining system has a purpose that is
W14-0614 makes applicable a range of social web-mining approaches on historical text
C04-1164 ontology performance , a medical web-mining system to search the desired
W10-3406 the input of a dictionary . Our web-mining approach deals with a cognitive
P02-1054 the Web ( Mann , 2001 ) . The Web-mining algorithm presented in this paper
P15-3005 2002 ) . During the last decade , web-mining approaches have been proposed
P13-1157 data produced by a variety of Web-mining activities . Evaluation results
J03-3006 advantage , compared to other Web-mining approaches , of providing a wealth
W09-3109 ( 2003 ) propose their STRAND web-mining based system and show that their
E09-1003 ( 2003 ) propose their STRAND web-mining based system and show that their
J03-3006 obtained using a high-performance Web-mining algorithm ( Mihalcea and Moldovan
D08-1040 dialogue processing . By using simple web-mining techniques we described , this
W10-3406 How to Expand Dictionaries with Web-Mining Techniques </title> Nicolas B&#233;chet
W12-3714 Komuda et al. ( 2010 ) used a Web-mining technique to gather consequences
P05-1016 researchers have applied text - and web-mining algorithms for automatically
P02-1054 Estimating pattern consistency The Web-mining module submits three searches
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