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Paper Details
Paper Title
Performance Evaluation of Multi Navie Bayes Algorithm for Spam Email Detection
Authors
Komal Ahuja, Amandeep
Abstract
In this paper we are define how to detect new malicious executables or Malware by using Data mining (DM) namely multi-naive with the variable Byte sequence. It is very important to detect and delete new malware in an effective manner. In this paper, we propose three data mining (DM) algorithms to produce new classifiers with separate features: Bayes Net, Naïve – Bayes and a Multi Classifier system and the comparison between three classification methods. It comprises of root kit data collection, classification, data pre-processing and performance evaluation phases.
Keywords- Data Mining, Classification, Security, Prediction, Multi-naïve Bayes
Publication Details
Unique Identification Number - IJEDR1603067Page Number(s) - 409-414Pubished in - Volume 4 | Issue 3 | August 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Komal Ahuja, Amandeep, "Performance Evaluation of Multi Navie Bayes Algorithm for Spam Email Detection", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.409-414, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603067.pdf
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