@inproceedings{08485f51dc9c4b7380046a362723b732,
title = "Multi-agent web text mining on the grid for enterprise decision support",
abstract = "In this study, a multi-agent web text mining system on the grid is developed to support enterprise decision-making. First, an individual intelligent learning agent that learns about underlying text documents is presented to discover the useful knowledge for enterprise decision. In order to scale the individual intelligent agent with the large number of text documents on the web, we then provide a multi-agent web text mining system in a parallel way based upon grid technology. Finally, we discuss how the multi-agent web text mining system on the grid can be used to implement text mining services. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",
author = "Lai, {Kin Keung} and Lean Yu and Shouyang Wang",
year = "2006",
doi = "10.1007/11610496_70",
language = "English",
isbn = "3540311580",
volume = "3842 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "540--544",
booktitle = "Advanced Web and Network Technologies, and Applications - APWeb 2006 International Workshops",
address = "Germany",
note = "2006 international conference on Advanced Web and Network Technologies, and Applications (APWeb'06) ; Conference date: 16-01-2006 Through 18-01-2006",
}