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                                       Details for article 34 of 34 found articles
 
 
  The Feature Updating Algorithm for Short Message Content Filtering
 
 
Title: The Feature Updating Algorithm for Short Message Content Filtering
Author: Qindong Sun
Hongli Qiao
Zuomin Luo
Appeared in: Information technology journal
Paging: Volume 7 (2008) nr. 5 pages 790-795
Year: 2008
Contents: This study presents a dynamic updating algorithm of adverse SMS feature library which is used to support the identification and filtration of adverse mobile short message content. It accesses new short message features by continuous computation and combines complete feature updating with partial feature updating to renew the adverse short message feature library. New library is used for filtering adverse short messages. Experimental results show that the adverse short message content filtering system based on the renewable adverse feature library has a stable performance and its evaluation criteria of F1 gets an average value of over 0.9.
Publisher: Asian Network for Scientific Information, Pakistan (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 34 of 34 found articles
 
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