TY - GEN
T1 - Immune inspired adaptive information filtering
T2 - 6th International ICST Conference on Bio-Inspired Model of Network, Information, and Computing Systems, BIONETICS 2011
AU - Mohd Azmi, Nurulhuda Firdaus
AU - Polack, Fiona
AU - Timmis, Jon
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Adaptive Information Filtering
KW - AISEC
KW - Artificial Immune Systems
KW - dynamic clonal selection
KW - Profile Adaptation
UR - http://www.scopus.com/inward/record.url?scp=84869595477&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-32711-7_24
DO - 10.1007/978-3-642-32711-7_24
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:84869595477
SN - 9783642327100
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
SP - 242
EP - 247
BT - Bio-Inspired Model of Network, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, Revised Selected Papers
PB - Springer Nature
Y2 - 5 December 2011 through 6 December 2011
ER -