@inproceedings{8e1945b535284b10895df1d7e0bb99e8,
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",
year = "2012",
doi = "10.1007/978-3-642-32711-7\_24",
language = "English",
isbn = "9783642327100",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",
publisher = "Springer Nature",
pages = "242--247",
booktitle = "Bio-Inspired Model of Network, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, Revised Selected Papers",
address = "Switzerland",
note = "6th International ICST Conference on Bio-Inspired Model of Network, Information, and Computing Systems, BIONETICS 2011 ; Conference date: 05-12-2011 Through 06-12-2011",
}