Title :
The application of data mining in the classification of spam messages
Author :
Liu, Gumciang ; Yang, Fengxia
Author_Institution :
Comput. Dept., Cangzhou Teachers Coll., Cangzhou, China
Abstract :
Spam messages in mobile phone flooded and the management to it was not effective. The paper analyzes the characteristics of spam messages, its forming reason and its harm, discusses the classification method of filtering spam messages, and points out it is the key work of the researchers to develop the more effective classification method.
Keywords :
data mining; mobile computing; security of data; unsolicited e-mail; data mining; mobile phone; spam message classification; spam message filtering; Irrigation; Mobile communication; Monitoring; Support vector machine classification; Data mining; Spam messages; Text classification;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6309104
