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Agents and stream data mining: a new perspective

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journal contribution
posted on 2005-05-01, 00:00 authored by Kok-Leong Ong, Zili ZhangZili Zhang, W K Ng, E P Lim
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.

History

Journal

Intelligent systems

Volume

20

Pagination

60 - 67

Location

Los Alamitos, Calif.

Open access

  • Yes

ISSN

1541-1672

eISSN

1941-1294

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2005, IEEE

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