Agents and stream data mining: a new perspective
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 organization...
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| Veröffentlicht in: | IEEE intelligent systems 2005-05, Vol.20 (3), p.60-67 |
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| container_end_page | 67 |
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| container_issue | 3 |
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| container_title | IEEE intelligent systems |
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| creator | Kok-Leong, Ong Zhang, Zili Wee-Keong Ng Ee-Peng, Lim |
| description | 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. |
| doi_str_mv | 10.1109/MIS.2005.39 |
| format | Article |
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| identifier | ISSN: 1541-1672 |
| ispartof | IEEE intelligent systems, 2005-05, Vol.20 (3), p.60-67 |
| issn | 1541-1672 1094-7167 1941-1294 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithm design and analysis Algorithms Applied sciences Australia Competitive intelligence Computer science control theory systems Computerized information storage and retrieval cooperative hybrid systems Data mining Data processing. List processing. Character string processing Design methodology Exact sciences and technology Human factors Information processing Intelligent agents Internet Memory organisation. Data processing Mining industry Mobile computing Searching Software software agents Streaming media World Wide Web |
| title | Agents and stream data mining: a new perspective |
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