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 :
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