MINING ASSOCIATION RULES FOR TRAJECTORIES OF SPATIOTEMPORAL DATA

被引：0

作者：

Hong, Hao ^{[1
]}

机构：

[1] Qingdao I&C Adm Bur, Informat Ctr, Qingdao 266071, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, MEASUREMENT, CIRCUITS AND SYSTEMS (ICIMCS 2011), VOL 3: COMPUTER-AIDED DESIGN, MANUFACTURING AND MANAGEMENT | 2011年

关键词：

spatiotemporal data; location aware computing; trajectory; Apriori algorithm; data conversion; association rule; data mining;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：247 / 253

页数：7

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