NDLI: Research and Improvement of a Spam Filter Based on Naive Bayes

Content Provider	IEEE Xplore Digital Library
Author	Lin Li Chi Li
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Software Eng., Sichuan Univ., Chengdu, China (Lin Li; Chi Li)
Abstract	The spam filter based on Naive Bayes algorithm, which has good classification accuracy, but the training and learning mail sample sets takes a lot of resources, affects the overall efficiency of the system, so we should select the features of the message text in the practical application, and thus to reduce the dimension of the features vector space. TF-IDF is commonly used as a text feature selection, the method is simple, the paper improve the IDF weighting algorithm of the TF-IDF feature selection, increase the weight of the high frequency words corresponding its class, use the improved TF-IDF algorithm to select the features, and build a naive Bayesian spam filter improved TF-IDF feature weighting.
Starting Page	361
Ending Page	364
File Size	182421
Page Count	4
File Format	PDF
ISBN	9781479986453
e-ISBN	9781479986460
DOI	10.1109/IHMSC.2015.208
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Filtering Spam filtering TF-IDF Filtering algorithms Classification algorithms Electronic mail Mathematical model Naive bayes Postal services
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Research and Improvement of a Spam Filter Based on Naive Bayes