Searching for A Chinese Anti Spam Filter Approach Based On Support Vector Machine information? Find all needed info by using official links provided below.
https://www.researchgate.net/publication/4307331_A_Chinese_Anti-Spam_Filter_Approach_Based_on_Support_Vector_Machine
This paper presents an anti-spam filter approach based on support vector machine (SVM). Firstly, we adopt the tri-gram language model to perform word segmentation in the Chinese …
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004421831
This paper presents an anti-spam filter approach based on Support Vector Machine (SVM). Firstly, we adopt the tri-gram language model to perform word segmentation in the Chinese Email. In order to overcome the sparse data problem, the Absolute Discount Smoothing algorithm is …
https://dl.acm.org/citation.cfm?id=1691485
Anti-spam Filters Based on Support Vector Machines. Authors: Chengwang Xie: State Key Lab of Software Engineering, Wuhan University, Wuhan, China 430072 ... Recently, spam has become an increasingly important problem. In this paper, a support vector machine (SVM) is used as the spam filter. ... this paper proposes a new selection approach based ...Cited by: 3
https://unbscholar.lib.unb.ca/islandora/object/unbscholar%3A7046/datastream/PDF/view
Traditionally machine learning approaches including Support Vector Machine (SVM) for spam filtering use the bag of words text representation technique to represent its features. However, this technique does not take the word order information into account and is not suitable for languages that do not use white spaces as word delimiters.Author: Ming Yang
https://link.springer.com/chapter/10.1007/978-3-642-04843-2_37
Drucker, H., Wu, D., Vapnik, V.N.: Support Vector Machines for Spam Categorization. IEEE transactions on neural networks 10(5) (September 1999) Google ScholarCited by: 3
http://interscience.in/SpIss_ijcct_accta_2010vol1_nol2/CS_Paper8.pdf
Spam Filtering using Support Vector Machine ... datasets for anti-spam filtering. One of the main concerns is how to protect the privacy of the users whose ham messages are included in the datasets. The first approach is to use ham messages collected from freely accessible newsgroups, or mailing listsCited by: 9
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