DocumentCode
832848
Title
Agents and stream data mining: a new perspective
Author
Ong, Kok-Leong ; Zhang, Zili ; Ng, Wee-Keong ; Lim, Ee-Peng
Author_Institution
Deakin Univ., Geelong, Vic., Australia
Volume
20
Issue
3
fYear
2005
Firstpage
60
Lastpage
67
Abstract
Many organizations struggle with the massive amount of data they collect. Today, data does more than serve as the ingredients for churning out statistical reports. They help support efficient operations in many organizations, and to some extent, data provide the competitive intelligence organizations need to survive in today´s economy. Data mining can´t always deliver timely and relevant results because data are constantly changing. However, stream-data processing might be more effective, judging by the Matrix project.
Keywords
competitive intelligence; data mining; mobile agents; multi-agent systems; Matrix project; mobile agents; stream data mining; stream-data processing; Algorithm design and analysis; Australia; Competitive intelligence; Data mining; Design methodology; Human factors; Internet; Mining industry; Mobile computing; World Wide Web; cooperative hybrid systems; data mining; software agents;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2005.39
Filename
1439481
Link To Document