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User-Defined Classification for Email System using Back Propagation Algorithm

Arichi Arzare1 , Suneha Chaudhari2 , Sayalee Desai3 , Sonali Jadhav4

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-4 , Page no. 1-5, Apr-2015

Online published on May 04, 2015

Copyright © Arichi Arzare, Suneha Chaudhari, Sayalee Desai , Sonali Jadhav . This 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.

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IEEE Style Citation: Arichi Arzare, Suneha Chaudhari, Sayalee Desai , Sonali Jadhav, “User-Defined Classification for Email System using Back Propagation Algorithm,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.4, pp.1-5, 2015.

MLA Style Citation: Arichi Arzare, Suneha Chaudhari, Sayalee Desai , Sonali Jadhav "User-Defined Classification for Email System using Back Propagation Algorithm." International Journal of Computer Sciences and Engineering 3.4 (2015): 1-5.

APA Style Citation: Arichi Arzare, Suneha Chaudhari, Sayalee Desai , Sonali Jadhav, (2015). User-Defined Classification for Email System using Back Propagation Algorithm. International Journal of Computer Sciences and Engineering, 3(4), 1-5.

BibTex Style Citation:
@article{Arzare_2015,
author = {Arichi Arzare, Suneha Chaudhari, Sayalee Desai , Sonali Jadhav},
title = {User-Defined Classification for Email System using Back Propagation Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2015},
volume = {3},
Issue = {4},
month = {4},
year = {2015},
issn = {2347-2693},
pages = {1-5},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=450},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=450
TI - User-Defined Classification for Email System using Back Propagation Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Arichi Arzare, Suneha Chaudhari, Sayalee Desai , Sonali Jadhav
PY - 2015
DA - 2015/05/04
PB - IJCSE, Indore, INDIA
SP - 1-5
IS - 4
VL - 3
SN - 2347-2693
ER -

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Abstract

These days email system is one of the major sources of communication and users’ depend heavily on it. Even after the evolution of new mobile applications, social networks etc. emails are extensively used on both personal and professional platforms. Pertaining to this extensive use, inboxes these days usually become a chunk with unnecessary messages from social media, advertisements, subscriptions etc. which might not be of that much importance. Thus there’s a need of classification so that the user does not have to surf through the chunk for one particularly important mail. In this paper, we propose a solution for email classification using back propagation technique which has user defined categories where word search is made on the content of the email. The output of this solution will give the user a selected number of emails according to the category he/she chooses.

Key-Words / Index Term

Email, Classification, User-Defined, Back Propagation, Categories

References

[1] Schuff, D., O. Turetke, D. Croson, F 2007, ‘Managing Email Overload: Solutions and Future Challenges’, IEEE Computer Society, vol. 40, No. 2, pp. 31-36.
[2] Kushmerick, N., Lau, T. 2005, ‘Automated Email Activity Management: An Unsupervised learning Approach’, Proceedings of 10th International Conference on Intelligent User Interfaces, ACM Press, pp. 67-74.
[3] Helfman, J., Isbell, C. 1995, ‘Ishmail: Immediate Identification of Important Information’, AT&T Labs.
[4] Boone, G. 1998, ‘Concept Features in Re: Agent, An Intelligent Email Agent’, Proceedings of 2nd International Conference on autonomous agents, ACM Press, pp.141-148.
[5] Balter, O., Sidner, C. Bifrost Inbox Organizer: Giving Users Control over the Inbox. In In Proceedings of the Second Nordic Conference on Human-Computer interaction. 2002. Aarhus, Denmark: ACM Press.
[6] Ramos, J. (2002). Using TF-IDF to Determine Word Relevance in Document Queries, Department of Computer Science, Rutgers University, Piscataway, NJ, 08855.
[7] Yukun, C., Xiaofeng, L., Yunfeng, L. (2007). An Email Filtering Approach Using Neural Network, Springer Berlin, pp. 688-694.
[8] United States. The Board of Trustees of the University of Illinois. (2003). D2K™ Data to Knowledge™ Text Mining: Email Classification.