| 基于数据立方体的多最小支持度关联规则在犯罪分析中的应用 |
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| 引用本文： | 王海波,张永田,吴升.基于数据立方体的多最小支持度关联规则在犯罪分析中的应用[J].测绘科学技术学报,2016(4):405-409. |
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| 作者姓名： | 王海波 张永田 吴升 |
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| 作者单位： | 1. 湖北工业大学 经济与管理学院,湖北 武汉,430068;2. 福州大学 福建省空间信息工程研究中心,福建 福州,350003 |
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| 基金项目： | 国家“863”计划重大项目(2012AA12A208)。 |
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| 摘 要： | 为了快速获取候选项集的支持度,避免频繁访问数据库而造成效率低下的问题,在MSapriori算法的基础上引入数据立方体,提出DC_MSapriori算法。该算法无需多次扫描事务数据库,减少了I/O操作,降低了搜索开销。实验基于福州市鼓楼区各大医院周边的案事件数据,快速挖掘出犯罪时空模式,验证了算法的有效性。
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| 关 键 词： | 关联规则 多最小支持度 数据立方体 犯罪分析 时空模式 |
Application of Association Rules with Multiple Minimum Supports Based on the Data Cube in Crime Analysis |
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| WANG Haibo,ZHANG Yongtian,WU Sheng.Application of Association Rules with Multiple Minimum Supports Based on the Data Cube in Crime Analysis[J].Journal of Zhengzhou Institute of Surveying and Mapping,2016(4):405-409. |
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| Authors: | WANG Haibo ZHANG Yongtian WU Sheng |
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| Abstract: | To achieve rapid acquisition of candidate set support degree and avoid low efficiency issue due to access-ing frequently to the database, the DC_MSapriori algorithm based on introducing the data cube for the MSapriori algorithm is proposed in this paper. The corresponding experiments are implemented to quickly mine space-time crime patterns based on case data around hospitals in Gulou district of Fuzhou. In this way, the new algorithm characteristics on transaction database scanning, search cost and the I/O operations are revealed and the effective-ness of the algorithm is validated. |
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| Keywords: | association rules multiple minimum supports data cube crime analysis spatial-temporal pattern |
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