决策树算法分析及其未成年人犯罪行为分析应用

数据挖掘是致力于数据分析和理解、揭示数据内部蕴藏知识的技术.通过对数据挖掘决策树算法和未成年犯罪人员行为数据进行分析,找出其中潜在的规则为相关部门决策提供理论的支持.     

Preliminary results of FeO mapping using Imaging Interferometer data from Chang'E-1

Information about the variability,and spatial distribution of iron abundance is important to understand lunar geological history and for future resource utilization. In this paper we present a preliminary model to produce an iron abundance map using images taken by an Imaging Interferometer on board the satellite Chang’E-1. Compared with the Clementine UVVIS images,the images from the Chang’E-1 satellite also allowed for the extraction of FeO abundance distributions on the Moon. However,the prelimi-nary model results suggest an underestimation of ～2 wt.% for the FeO content of the mare region and an overestimation of ～3 wt.% for the highland region.     

可视化数据挖掘在碎屑岩储层研究中的应用

针对储层研究过程中碎屑岩数据爆炸而知识缺乏的问题,引入数据挖掘思想,结合地理信息系统及Excel二次开发工具,应用Clementine软件对数据进行提取与处理,实现了数据挖掘过程的可视化.借助数据挖掘工具进行砂岩三角形图解的自动化投点和岩性识别,从而实现数据挖掘结果的可视化.     

Automated detection of lunar craters based on object-oriented approach

The object-oriented approach is a powerful method in making classification. With the segmentation of images to objects, many features can be calculated based on the objects so that the targets can be distinguished. However, this method has not been applied to lunar study. In this paper we attempt to apply this method to detecting lunar craters with promising results. Craters are the most obvious fea- tures on the moon and they are important for lunar geologic study. One of the important questions in lunar research is to estimate lunar surface ages by examination of crater density per unit area. Hence, proper detection of lunar craters is necessary. Manual crater identification is inefficient, and a more efficient and effective method is needed. This paper describes an object-oriented method to detect lunar craters using lunar reflectance images. In the method, many objects were first segmented from the image based on size, shape, color, and the weights to every layer. Then the feature of ＂contrast to neighbor objects＂ was selected to identify craters from the lunar image. In the next step, by merging the adjacent objects belonging to the same class, almost every crater can be taken as an independent object except several very big craters in the study area. To remove the crater rays diagnosed as craters, the feature of ＂length/width＂ was further used with suitable parameters to finish recognizing craters. Finally, the result was exported to ArcGIS for manual modification to those big craters and the number of craters was acquired.     

Preliminary results of TiO<Subscript>2</Subscript> mapping using Imaging Interferometer data from Chang’E-1

The distribution of titanium abundance on the lunar surface is important knowledge for lunar geologic studies and future resource utilization.In this paper,we develop a preliminary model based on"ground truths"from Apollo and Luna sample-return sites to produce a titanium abundance map from Chang’E-1 Imaging Interferometer(IIM) images.The derived TiO2 abundances are validated with Clementine UVVIS results in several regions,including lunar highlands neighboring the Apollo 16 landing site,and high-Ti and low-Ti maria near the standard site of Mare Serenitatis(MS2) .The validation results show that TiO2 abundances modeled with Chang’E-1 IIM data are overestimated for highlands(～0.7 wt.%) and low-Ti maria(～1.5 wt.%) and underestimated for high-Ti maria(～0.8 wt.%).     

应用数据挖掘技术促进数字化校园建设

阐述了数字化校园和数据挖掘技术的关系．在分析了数字化校园中应用数据挖掘技术的需求基础上,将决策树算法、关联规则算法、聚类分析、回归分析方法具体应用于数字化校园,为数字化校园的建设开启了新思路．