Adaptive Information Filtering Algorithms
Editor(s)
David J. Hand, Joost N. Kok, and Michael R. Berthold
Abstract
Adaptive Information Filtering is concerned with filtering information streams in changing environments. The changes may occur both on the transmission side (the nature of the streams can change) and on the reception side (the interests of a user can change). The research described in this paper details the progress made in a prototype Adaptive Information Filtering system based on weighted trigram analysis and evolutionary computation. The main improvements of the algorithms employed by the system concern the computation of the distance between weighted trigram vectors and a further analysis of the two-pool evolutionary algorithm. We tested our new prototype system on the Reuters-21578 text categorization test collection.
Recommended Citation
D. R. Tauritz and I. G. Sprinkhuizen-Kuyper, "Adaptive Information Filtering Algorithms," Proceedings of the 3rd International Symposium on Intelligent Data Analysis (1999, Amsterdam, Netherlands), pp. 513 - 524, Springer Verlag, Jan 1999.
The definitive version is available at https://doi.org/10.1007/3-540-48412-4_43
Meeting Name
3rd International Symposium on Intelligent Data Analysis, IDA 1999 (1999: Aug. 9-11, Amsterdam, Netherlands)
Department(s)
Computer Science
Keywords and Phrases
Adaptive Filters; Algorithms; Data Handling; Evolutionary Algorithms; Information Analysis; Text Processing, Adaptive Information Filtering; Changing Environment; Filtering Informations; Prototype System; Reuters-21578; Test Collection; Text Categorization; Tri Grams, Information Filtering
International Standard Book Number (ISBN)
978-3540663324
International Standard Serial Number (ISSN)
0302-9743
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 1999 Springer Verlag, All rights reserved.
Publication Date
01 Jan 1999
