Discussing about the application of data mining technology in anti-illegal immigrant intelligence

Zhi-ying Han, Ning Chang, Xiao-Ming Chen, Xiao-long Cha
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引用次数: 0

Abstract

However with China entering into the WTO, the big clearance in national seaport will soon realize, immigration traveler's number will be fast increasing, at the same time, anti-illegal immigrant conflict would also be more intense and complicated. Under such condition the analysis of anti-illegal immigrant intelligence has many difficulties. So data mining technology will be introduced in anti-illegal immigrant intelligence to detect new illegal immigrant trends. This article states the process of data mining in anti-illegal immigrant consulting relevancy data mining algorithm, including data processing in advance, association rule digging out, and so forth. Mining on time sequence rule will be the important way in data mining. Through this way, the objective law of anti-illegal immigrant intelligence will be found to support decision-making.
探讨了数据挖掘技术在反非法移民情报中的应用
然而,随着中国加入WTO,国家口岸大通关将很快实现,出入境旅客数量将快速增长,与此同时,反非法移民的冲突也将更加激烈和复杂。在这种情况下,反非法移民情报分析存在诸多困难。因此,将数据挖掘技术引入到反非法移民情报中,以发现新的非法移民趋势。本文阐述了反非法移民咨询相关数据挖掘算法的数据挖掘过程,包括数据预处理、关联规则挖掘等。时间序列规则的挖掘将成为数据挖掘的重要途径。通过这种方式,发现反非法移民情报的客观规律,为决策提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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