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    STUDIA INFORMATICA - Issue no. Sp.Issue 1 / 2009  
         
  Article:   AN APPROACH ON MULTILEVEL TEXT MINING.

Authors:  ADRIAN ONEŢ. 		 
       
         
  Abstract:   When different text sources are used in text mining application, amechanism is needed to take into account the competence of each source and thevalidity of the knowledge provided. In this paper, we propose a method to acquireand process sets of association rules and frequent words, gathered from differentsources, while at the same time taking into consideration the competence factorof each source (i.e. how trustworthy/relevant a source is). The lower level oftext mining knowledge is then consolidated to form higher level of text miningknowledge. We call this a multilevel text mining process. We also consider theproblem of discovering patterns from incomplete information and introduce achase based technique to infer the missing text patterns.

Key words and phrases. Text mining, knowledge discovery, association rule mining, frequent wordset mining. 		 
         
     
         
         
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