Improved Method For Classification of Emails

Snehal Prakash Chaudhari; Gauri Shantaram Ikade; Nikita Balasaheb Dhumal; Rupali Ganesh Watamkar

Improved Method For Classification of Emails

Authors: Snehal Prakash Chaudhari, Gauri Shantaram Ikade, Nikita Balasaheb Dhumal, Rupali Ganesh Watamkar

Unique Paper ID: 148246
Volume: 6
Issue: 1
PageNo: 5-11

Keywords: Email classification; graph mining algorithm; spam; email classifier

Abstract:
This system proposed for a hybrid solution of spam email classifier using context based email classification model as main algorithm complimented by information gain calculation to increase spam classification accuracy and Machine Learning algorithms. Previous solution consists of three stages email pre-processing, feature extraction and email classification. We use Naives Bayesian classification and k-mean clustering algorithm to classify the data in the mails. The study has shown that implementing the spam filter in the context â€“based email classification model is feasible and can be improved.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 6
Issue: 1
PageNo: 5-11

Improved Method For Classification of Emails

Available:https://ijirt.org/Article?manuscript=148246

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now