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Using a Data Mining Approach: Spam Detection on Facebook
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 58 - Number 13 |
| Year of Publication: 2012 |
| Authors: M. Soiraya, S. Thanalerdmongkol, C. Chantrapornchai |
10.5120/9343-3660
|
M. Soiraya, S. Thanalerdmongkol, C. Chantrapornchai . Using a Data Mining Approach: Spam Detection on Facebook. International Journal of Computer Applications. 58, 13 ( November 2012), 27-32. DOI=10.5120/9343-3660
Abstract
In this work, we present a social network spam detection application based on texts. Particularly, we tested on the Facebook spam. We develop an application to test the prototype of Facebook spam detection. The features for checking spams are the number of keywords, the average number of words, the text length, the number of links. The data mining model using the decision tree J48 is created using Weka [1]. The methodology can be extended to include other attributes. The prototype application demonstrates the real use of the Facebook application.
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