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    STUDIA INFORMATICA - Issue no. 4 / 2012  
         
  Article:   CLUSTERING, TIERED INDEXES AND TERM PROXIMITY WEIGHTING IN TEXT-BASED RETRIEVAL.

Authors:  ADRIAN STERCA.
 
       
         
  Abstract:  In this paper we present a textual retrieval system based on clustering and tiered indexes. Our system can be used for exact phrase matching and also for improved keyword search by employing term proximity weighting in the similarity measure. The document retrieval process is constructed in an efficient way, so that not all the documents in the database need to be compared against the searched query.

Key words and phrases. textual information retrieval, tiered indexes, document clustering, term proximity.
 
         
     
         
         
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