AISEC: An artificial immune system for e-mail classification

Andrew Secker; Alex A. Freitas; Jon Timmis

doi:10.1109/CEC.2003.1299566

AISEC: An artificial immune system for e-mail classification

Andrew Secker
, Alex A. Freitas
, Jon Timmis

Adran Cyfrifiadureg

University of Kent

Allbwn ymchwil: Cyfraniad at gynhadledd › Papur › adolygiad gan gymheiriaid

83 Dyfyniadau (Scopus)

Crynodeb

With the increase in information on the Internet, the strive to find more effective tools for distinguishing between interesting and non-interesting material is increasing. Drawing analogies from the biological immune system, this paper presents an immune-inspired algorithm called AISEC that is capable of continuously classifying electronic mail as interesting and non-interesting without the need for re-training. Comparisons are drawn with a naive Bayesian classifier and it is shown that the proposed system performs as well as the naive Bayesian system and has a great potential for augmentation.

Iaith wreiddiol	Saesneg
Tudalennau	131-138
Nifer y tudalennau	8
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/CEC.2003.1299566
Statws	Cyhoeddwyd - 2003
Digwyddiad	2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Awstralia Hyd: 08 Rhag 2003 → 12 Rhag 2003

Cynhadledd

Cynhadledd	2003 Congress on Evolutionary Computation, CEC 2003
Gwlad/Tiriogaeth	Awstralia
Dinas	Canberra, ACT
Cyfnod	08 Rhag 2003 → 12 Rhag 2003

Mynediad at Ddogfen

10.1109/CEC.2003.1299566

Cysylltiad parhaol

Dolen barhaus

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

Dyfynnu hyn

@conference{22bcc452183744e3a83ca5a2a00f63f8,

title = "AISEC: An artificial immune system for e-mail classification",

abstract = "With the increase in information on the Internet, the strive to find more effective tools for distinguishing between interesting and non-interesting material is increasing. Drawing analogies from the biological immune system, this paper presents an immune-inspired algorithm called AISEC that is capable of continuously classifying electronic mail as interesting and non-interesting without the need for re-training. Comparisons are drawn with a naive Bayesian classifier and it is shown that the proposed system performs as well as the naive Bayesian system and has a great potential for augmentation.",

author = "Andrew Secker and Freitas, \{Alex A.\} and Jon Timmis",

year = "2003",

doi = "10.1109/CEC.2003.1299566",

language = "English",

pages = "131--138",

note = "2003 Congress on Evolutionary Computation, CEC 2003 ; Conference date: 08-12-2003 Through 12-12-2003",

}

TY - CONF

T1 - AISEC

T2 - 2003 Congress on Evolutionary Computation, CEC 2003

AU - Secker, Andrew

AU - Freitas, Alex A.

AU - Timmis, Jon

PY - 2003

Y1 - 2003

N2 - With the increase in information on the Internet, the strive to find more effective tools for distinguishing between interesting and non-interesting material is increasing. Drawing analogies from the biological immune system, this paper presents an immune-inspired algorithm called AISEC that is capable of continuously classifying electronic mail as interesting and non-interesting without the need for re-training. Comparisons are drawn with a naive Bayesian classifier and it is shown that the proposed system performs as well as the naive Bayesian system and has a great potential for augmentation.

AB - With the increase in information on the Internet, the strive to find more effective tools for distinguishing between interesting and non-interesting material is increasing. Drawing analogies from the biological immune system, this paper presents an immune-inspired algorithm called AISEC that is capable of continuously classifying electronic mail as interesting and non-interesting without the need for re-training. Comparisons are drawn with a naive Bayesian classifier and it is shown that the proposed system performs as well as the naive Bayesian system and has a great potential for augmentation.

UR - https://www.scopus.com/pages/publications/84901399787

U2 - 10.1109/CEC.2003.1299566

DO - 10.1109/CEC.2003.1299566

M3 - Paper

AN - SCOPUS:84901399787

SP - 131

EP - 138

Y2 - 8 December 2003 through 12 December 2003

ER -

AISEC: An artificial immune system for e-mail classification

Crynodeb

Cynhadledd

Mynediad at Ddogfen

Cysylltiad parhaol

Ffeiliau eraill a chysylltiadau

Ôl bys

Dyfynnu hyn