Frequency-incorporated interdependency rules mining in spatiotemporal databases
Lee, Ickjai (2004) Frequency-incorporated interdependency rules mining in spatiotemporal databases. Lecture Notes in Artificial Intelligence, 3213. pp. 196-202.
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Abstract
Spatiotemporal association rules mining is to reveal interrelationships within large spatiotemporal databases. One critical limitation of traditional approaches is that they are confined to qualitative attribute measures. Quantitative frequencies are either ignored or discretized. In this paper, we propose a robust data mining method that efficiently reveals frequency-incorporated associations in spatiotemporal databases.
Item ID: | 6767 |
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Item Type: | Article (Research - C1) |
ISSN: | 1611-3349 |
Keywords: | spatiotemporal databases |
Date Deposited: | 12 Mar 2010 04:26 |
FoR Codes: | 08 INFORMATION AND COMPUTING SCIENCES > 0804 Data Format > 080403 Data Structures @ 100% |
SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100% |
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