Evolving email clustering method for email grouping: a machine learning approach

Taiwo Ayodele; Shikun Zhou; Rinat Khusainov

doi:10.1109/ICADIWT.2009.5273973

Evolving email clustering method for email grouping: a machine learning approach

Taiwo Ayodele, Shikun Zhou, Rinat Khusainov

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

Abstract

This paper presents the design and implementation of a new system to manage email messages using email evolving clustering method with unsupervised learning approach to group emails base on activities found in the email messages, namely email grouping. Users spend a lot of time reading, replying and organizing their emails. To help users organize their email messages, we propose a new framework to help organise and prioritize email better. The goal is to provide highly structured and prioritized emails, thus saving the user from browsing through each email one by one and help to save time.

Original language	English
Title of host publication	2009 Second International Conference on the Applications of Digital Information and Web Technologies
Publisher	IEEE
Pages	357-362
Number of pages	6
ISBN (Print)	978-1-4244-4456-4
DOIs	https://doi.org/10.1109/ICADIWT.2009.5273973
Publication status	Published - 4 Aug 2009
Externally published	Yes
Event	Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2009) - London Metropolitan University, London, United Kingdom Duration: 4 Aug 2009 → 6 Aug 2009 http://dirf.org/diwt2009/

Conference

Conference	Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2009)
Abbreviated title	ICADIWT
Country/Territory	United Kingdom
City	London
Period	4/08/09 → 6/08/09
Internet address	http://dirf.org/diwt2009/

Access to Document

10.1109/ICADIWT.2009.5273973

Cite this

@inproceedings{d93c78d7d8c34c9fa98ee5835cf7137a,

title = "Evolving email clustering method for email grouping: a machine learning approach",

abstract = "This paper presents the design and implementation of a new system to manage email messages using email evolving clustering method with unsupervised learning approach to group emails base on activities found in the email messages, namely email grouping. Users spend a lot of time reading, replying and organizing their emails. To help users organize their email messages, we propose a new framework to help organise and prioritize email better. The goal is to provide highly structured and prioritized emails, thus saving the user from browsing through each email one by one and help to save time.",

author = "Taiwo Ayodele and Shikun Zhou and Rinat Khusainov",

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pages = "357--362",

booktitle = "2009 Second International Conference on the Applications of Digital Information and Web Technologies",

publisher = "IEEE",

note = "Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2009), ICADIWT ; Conference date: 04-08-2009 Through 06-08-2009",

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Ayodele, T, Zhou, S & Khusainov, R 2009, Evolving email clustering method for email grouping: a machine learning approach. in 2009 Second International Conference on the Applications of Digital Information and Web Technologies. IEEE, pp. 357-362, Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2009), London, United Kingdom, 4/08/09. https://doi.org/10.1109/ICADIWT.2009.5273973

Evolving email clustering method for email grouping: a machine learning approach. / Ayodele, Taiwo; Zhou, Shikun; Khusainov, Rinat.
2009 Second International Conference on the Applications of Digital Information and Web Technologies. IEEE, 2009. p. 357-362.

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

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