Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{148246,
        author = {Snehal Prakash Chaudhari and Gauri Shantaram Ikade and  Nikita Balasaheb Dhumal and Rupali Ganesh Watamkar},
        title = {Improved Method For Classification of Emails},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {1},
        pages = {5-11},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148246},
        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 –based email classification model is feasible and can be improved. 

},
        keywords = {Email classification; graph mining algorithm; spam; email classifier},
        month = {},
        }