Incremental-Learning Spam Messages Distinguishing and Sorting System Based on Arm Platform

Xue Bing She

doi:10.4028/www.scientific.net/AMM.602-605.3843

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Incremental-Learning Spam Messages Distinguishing...

Incremental-Learning Spam Messages Distinguishing and Sorting System Based on Arm Platform

Abstract:

Now that the endless spam messages have sevely affected people on their works and daliy lives. The omission and even the help of the serrvice providrs (SP) in this regard make it extremely necessary to distinguish and sort the spam messages through filtering the messages on user’s mobile phone. The paper expatiated on a “self-study spam messages distinguishing and soring system’ developed onARM9 platform. By adding a spam box to SMS software of cellphome besidrs all os its normal functions, the system incessantly adjusts the weight of the featues though incremental learning method so as to achieve the highly accurate discrimination on whether a message received is the spam one or not, and futher decides to sort the message to the message box or the spam box, Test result on ARM9 platform shows, our technology can be applied completely to the mobile phones with just general performance.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3843-3845

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3843

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Cite this paper

Online since:

August 2014

Authors:

Xue Bing She*

Keywords:

Incremental Learning, Machine Learning, Self-Study, SMS, Spam Massage Distinguishing

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* - Corresponding Author

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