الملخص
The continued growth of Email usage, which is naturally followed by an increase i unsolicited emails so called spams, motivates research in spam filtering area. In the context of spam filtering systems, addressing th evolving nature of spams, which leads to obsolete the related models, has been always a challenge. In this paper an adaptive spam filtering system based on language model is proposed which can detect concept drift based on computing the deviation in email contents distribution. The proposed method can be used a ong with any existing classifier; particularly in this paper we use Naive Bayes method as classifier. The proposed method has been evaluated with Enron data set. The results indicate the efficiency of the method in detectin concept drift and its superiority over Naive Bayes classifier in terms of accuracy.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- International Journal of Information and Communication Technology Research, 2(3), 59-65
- الناشر
- Iran Telecom Research Center
- وصول مفتوح
- وصول مفتوح ذهبي
اقتبس هذه المقالة
APA 7
Hayat, M. Z., Javad, B., Leila, S., & Shakery, A. (2010). A CONTENT-BASED APPROACH FOR TRACKING CONCEPT DRIFT IN EMAIL SPAM FILTERING. International Journal of Information and Communication Technology Research, 2(3), 59-65. https://omanscience.com/ar/articles/a-content-based-approach-for-tracking-concept-drift-in-email-spam-filtering
MLA 9
Hayat, Morteza Zi, et al. "A CONTENT-BASED APPROACH FOR TRACKING CONCEPT DRIFT IN EMAIL SPAM FILTERING." International Journal of Information and Communication Technology Research, vol. 2, no. 3, 2010, pp. 59-65. https://omanscience.com/ar/articles/a-content-based-approach-for-tracking-concept-drift-in-email-spam-filtering.
شيكاغو (المؤلف–التاريخ)
Hayat, Morteza Zi, Basiri Javad, Seyedhossein Leila, and Azadeh Shakery. 2010. "A CONTENT-BASED APPROACH FOR TRACKING CONCEPT DRIFT IN EMAIL SPAM FILTERING." International Journal of Information and Communication Technology Research 2 (3): 59-65. https://omanscience.com/ar/articles/a-content-based-approach-for-tracking-concept-drift-in-email-spam-filtering.
هارفارد
Hayat, M. Z., Javad, B., Leila, S. and Shakery, A. (2010) 'A CONTENT-BASED APPROACH FOR TRACKING CONCEPT DRIFT IN EMAIL SPAM FILTERING', International Journal of Information and Communication Technology Research, 2(3), pp. 59-65. Available at: https://omanscience.com/ar/articles/a-content-based-approach-for-tracking-concept-drift-in-email-spam-filtering.
فانكوفر
Hayat MZ, Javad B, Leila S, Shakery A. A CONTENT-BASED APPROACH FOR TRACKING CONCEPT DRIFT IN EMAIL SPAM FILTERING. International Journal of Information and Communication Technology Research. 2010;2(3):59-65. https://omanscience.com/ar/articles/a-content-based-approach-for-tracking-concept-drift-in-email-spam-filtering
IEEE
M. Z. Hayat, B. Javad, S. Leila, and A. Shakery, "A CONTENT-BASED APPROACH FOR TRACKING CONCEPT DRIFT IN EMAIL SPAM FILTERING," International Journal of Information and Communication Technology Research, vol. 2, no. 3, pp. 59-65, 2010, https://omanscience.com/ar/articles/a-content-based-approach-for-tracking-concept-drift-in-email-spam-filtering.