Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm

Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm

In recent years with the widely usage of mobile devices, the problem of SMS Spam increased dramatically. Receiving those undesired messages continuously can cause frustration to users. And sometimes it can be harmful, by sending SMS messages containing fake web pages in order to steal users’ confide...

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Bibliographic Details
Main Authors: Diyari Jalal Mussa, Noor Ghazi M. Jameel
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2019-11-01
Series:Kurdistan Journal of Applied Research
Subjects:
SMS spam, wrapper methods, sequential feature selection, sequential forward selection, sequential backward selection, boosting classifier, extreme gradient boosting, XGBoost.
Online Access:https://kjar.spu.edu.iq/index.php/kjar/article/view/338

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