Studying of Classifying Junk Messages Based on The Data Mining

Traditional SMS filters are basically text-based filtering. However, the filtering mechanisms have limitations: first, the keyword can easily be replaced by other symbols, which increase the difficulty of filtering; second, is garbage in the ongoing renovation of keywords, filtering mechanism of the...

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Bibliographic Details
Published in2009 International Conference on Management and Service Science pp. 1 - 4
Main Authors Wang Qian, Han Xue, Wang Xiaoyu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2009
Subjects
Advertising
Business
Classification tree analysis
Data mining
Decision trees
Information filtering
Information filters
Information technology
Technology management
Waste materials
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Summary:Traditional SMS filters are basically text-based filtering. However, the filtering mechanisms have limitations: first, the keyword can easily be replaced by other symbols, which increase the difficulty of filtering; second, is garbage in the ongoing renovation of keywords, filtering mechanism of the high demands of intelligent learning, which is difficult to achieve. Send acts based on the analysis of the filter will be able to solve the above problems. Filters in the design of messages added to the idea of data mining, through classification analysis of the sent messages, thus can be extracted to identify the rules of spam text messages and can send messages to the new classification behavior.
ISBN:1424446384
9781424446384
DOI:10.1109/ICMSS.2009.5304008