Features Reweighting and Similarity Coefficient Based Method for Email Spam Filtering
نویسندگان
چکیده
منابع مشابه
Utilizing Multi-Field Text Features for Efficient Email Spam Filtering
Large-scale spam emails cause a serious waste of time and resources. This paper investigates the text features of email documents and the feature noises among multi-field texts, resulting in an observation of a power law distribution of feature strings within each text field. According to the observation, we propose an efficient filtering approach including a compound weight method and a lightw...
متن کاملBoosting Trees for Anti-Spam Email Filtering
This paper describes a set of comparative experiments for the problem of automatically filtering unwanted electronic mail messages. Several variants of the AdaBoost algorithm with confidence– rated predictions (Schapire & Singer 99) have been applied, which differ in the complexity of the base learners considered. Two main conclusions can be drawn from our experiments: a) The boosting–based met...
متن کاملSymbiotic filtering for spam email detection
This paper presents a novel spam filtering technique called Symbiotic Filtering (SF) that aggregates distinct local filters from several users to improve the overall performance of spam detection. SF is an hybrid approach combining some features from both Collaborative (CF) and Content-Based Filtering (CBF). It allows for the use of social networks to personalize and tailor the set of filters t...
متن کاملEmail Spam Filtering: A Systematic Review
Spam is information crafted to be delivered to a large number of recipients, in spite of their wishes. A spam filter is an automated tool to recognize spam so as to prevent its delivery. The purposes of spam and spam filters are diametrically opposed: spam is effective if it evades filters, while a filter is effective if it recognizes spam. The circular nature of these definitions, along with t...
متن کاملSpam Email Filtering Using Network-Level Properties
1 Dep. of Information Systems/Algoritmi, University of Minho, 4800-058 Guimarães, Portugal, [email protected] WWW home page: http://www3.dsi.uminho.pt/pcortez 2 Dep. of Informatics, University of Minho, 4710-059 Braga, Portugal, {pns, mrocha}@di.uminho.pt 3 Department of Electronic and Electrical Engineering, University College London, Torrington Place, WC1E 7JE, London, UK, [email protected]
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Applied Sciences
سال: 2017
ISSN: 1546-9239
DOI: 10.3844/ajassp.2017.983.993