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

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	Institute of Electrical and Electronics Engineers Inc.
Pages	357-362
Number of pages	6
ISBN (Electronic)	9781424444571
ISBN (Print)	9781424444564
DOIs	https://doi.org/10.1109/ICADIWT.2009.5273973
Publication status	Published - 2 Oct 2009
Event	2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009 - London, United Kingdom Duration: 4 Aug 2009 → 6 Aug 2009

Conference

Conference	2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009
Country/Territory	United Kingdom
City	London
Period	4/08/09 → 6/08/09

Keywords

clustering methods
machine learning
postal services
electrochemical machining
design engineering
engineering management
unsupervised learning
organizing
mission critical systems
telephony

Access to Document

10.1109/ICADIWT.2009.5273973

Cite this

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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.",

keywords = "clustering methods, machine learning, postal services, electrochemical machining, design engineering, engineering management, unsupervised learning, organizing, mission critical systems, telephony",

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

year = "2009",

month = oct,

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doi = "10.1109/ICADIWT.2009.5273973",

language = "English",

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pages = "357--362",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009 ; Conference date: 04-08-2009 Through 06-08-2009",

}

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., 5273973, Institute of Electrical and Electronics Engineers Inc., pp. 357-362, 2nd 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. Institute of Electrical and Electronics Engineers Inc., 2009. p. 357-362 5273973.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Evolving email clustering method for email grouping

T2 - 2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009

AU - Ayodele, Taiwo

AU - Zhou, Shikun

AU - Khusainov, Rinat

PY - 2009/10/2

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N2 - 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.

AB - 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.

KW - clustering methods

KW - machine learning

KW - postal services

KW - electrochemical machining

KW - design engineering

KW - engineering management

KW - unsupervised learning

KW - organizing

KW - mission critical systems

KW - telephony

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M3 - Conference contribution

AN - SCOPUS:71449113917

SN - 9781424444564

SP - 357

EP - 362

BT - 2009 Second International Conference on the Applications of Digital Information and Web Technologies

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 August 2009 through 6 August 2009

ER -

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

Abstract

Conference

Keywords

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Cite this