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International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

By
Chen Ming
Chen Ming
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ISBN:
9780791859902
No. of Pages:
1400
Publisher:
ASME Press
Publication date:
2011

The information technologies get improved everyday; especially database technology. This development is influenced by expectation of market, where we have demands to store huge amount of different kinds of data, and later get some knowledge from that data. In this article we have the spatiotemporal data formatted for mining association rules, which can support decision making. The spatiotemporal data we used in this article can be considered as a group of spatiotemporal datasets. It is mapped by removing irrelevant fields, and then formatted for the Apriori algorithm or further analysis.

Abstract
Keywords
Introduction
Nomenclature
Fundamental Conceptions
Data Conversion
Case Study
Acknowledgments
References
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