摘要
大数据背景下,如何实现高效的空间数据挖掘,成为当前学术界广泛关注的问题之一。由于空间大数据自身特性,垃圾多、污染严重,难以得到有效的利用,在一定程度上危害着用户的信息安全。基于此,为了保障用户数据信息安全,展现空间数据的价值,应该进一步加深对大数据的价值挖掘和剖析。文章就此展开分析,着重从空间大数据挖掘知识的技术进行分析,客观阐述其价值所在。
With the rapid development of science and technology, information technology and computer network technology has been widely used in various industries. Facing the background of big data, how to achieve efficient spatial data mining has become one of the most widespread concerns in the academic circle.Because of the large space and the characteristics of the data itself, it is difficult to get effectively used. It endangers the users' information security to a certain extent. Based on this, in order to protect the users' data information security, and show the value of spatial data, we should further deepen the value of big data mining and analysis. This article emphatically analyzes the spatial data mining technology and elaborates its value objectively.
引文
[1]李德仁,王树良,李德毅,等.论空间数据挖掘和知识发现的理论与方法[J].武汉大学学报(信息科学版),2012(3):221-233.
[2]王树良,丁刚毅,钟鸣,等.大数据下的空间数据挖掘思考[J].中国电子科学研究院学报,2013(1):8-17.
[3]王新洲.论空间数据处理与空间数据挖掘[J].武汉大学学报(信息科学版),2016(1):1-4,8.
[4]高世健,王丽珍,肖清,等.一种基于U-AHC的不确定空间co-location模式挖掘算法[J].计算机研究与发展,2014(z2):438-444.
[5]马宏斌,王柯,马团学,等.大数据时代的空间数据挖掘综述[J].测绘与空间地理信息,2014(7):19-22.