Immune inspired adaptive information filtering: Focusing on profile adaptation

Nurulhuda Firdaus Mohd Azmi; Fiona Polack; Jon Timmis

doi:10.1007/978-3-642-32711-7-24

Immune inspired adaptive information filtering: Focusing on profile adaptation

Nurulhuda Firdaus Mohd Azmi^*, Fiona Polack, Jon Timmis

^*Corresponding author for this work

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

Abstract

This paper explores approaches to Adaptive Information Filtering (AIF) in the context of changing user interests. Based on the existing artificial immune system for email classification (AISEC), we demonstrate an effective extension to classification based on the body of emails. Widening this to the problem of AIF on dynamic web content, we propose to explore dynamic clonal selection algorithms (DCSAs) that include dynamically changing thresholds.

Original language	English
Title of host publication	Bio-Inspired Model of Network, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, Revised Selected Papers
Pages	242-247
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-32711-7-24
Publication status	Published - 5 Nov 2012
Event	6th International ICST Conference on Bio-Inspired Model of Network, Information, and Computing Systems, BIONETICS 2011 - York, United Kingdom Duration: 5 Dec 2011 → 6 Dec 2011

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume	103 LNICST
ISSN (Print)	1867-8211

Conference

Conference	6th International ICST Conference on Bio-Inspired Model of Network, Information, and Computing Systems, BIONETICS 2011
Country/Territory	United Kingdom
City	York
Period	5/12/11 → 6/12/11

Keywords

Adaptive Information Filtering
AISEC
Artificial Immune Systems
dynamic clonal selection
Profile Adaptation

Access to Document

10.1007/978-3-642-32711-7-24

Cite this

Mohd Azmi, N. F., Polack, F., & Timmis, J. (2012). Immune inspired adaptive information filtering: Focusing on profile adaptation. In Bio-Inspired Model of Network, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, Revised Selected Papers (pp. 242-247). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 103 LNICST). https://doi.org/10.1007/978-3-642-32711-7-24

Mohd Azmi, Nurulhuda Firdaus ; Polack, Fiona ; Timmis, Jon. / Immune inspired adaptive information filtering : Focusing on profile adaptation. Bio-Inspired Model of Network, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, Revised Selected Papers. 2012. pp. 242-247 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).

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title = "Immune inspired adaptive information filtering: Focusing on profile adaptation",

abstract = "This paper explores approaches to Adaptive Information Filtering (AIF) in the context of changing user interests. Based on the existing artificial immune system for email classification (AISEC), we demonstrate an effective extension to classification based on the body of emails. Widening this to the problem of AIF on dynamic web content, we propose to explore dynamic clonal selection algorithms (DCSAs) that include dynamically changing thresholds.",

keywords = "Adaptive Information Filtering, AISEC, Artificial Immune Systems, dynamic clonal selection, Profile Adaptation",

author = "{Mohd Azmi}, {Nurulhuda Firdaus} and Fiona Polack and Jon Timmis",

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doi = "10.1007/978-3-642-32711-7-24",

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Mohd Azmi, NF, Polack, F & Timmis, J 2012, Immune inspired adaptive information filtering: Focusing on profile adaptation. in Bio-Inspired Model of Network, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 103 LNICST, pp. 242-247, 6th International ICST Conference on Bio-Inspired Model of Network, Information, and Computing Systems, BIONETICS 2011, York, United Kingdom, 5/12/11. https://doi.org/10.1007/978-3-642-32711-7-24

Immune inspired adaptive information filtering: Focusing on profile adaptation. / Mohd Azmi, Nurulhuda Firdaus; Polack, Fiona ; Timmis, Jon.
Bio-Inspired Model of Network, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, Revised Selected Papers. 2012. p. 242-247 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 103 LNICST).

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

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Mohd Azmi NF, Polack F , Timmis J. Immune inspired adaptive information filtering: Focusing on profile adaptation. In Bio-Inspired Model of Network, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, Revised Selected Papers. 2012. p. 242-247. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). doi: 10.1007/978-3-642-32711-7-24

Immune inspired adaptive information filtering: Focusing on profile adaptation

Abstract

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Keywords

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