全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2018 

一种基于场论的空间异常探测方法
Field-Theory Based Spatial Outlier Detecting Method

DOI: 10.13203/j.whugis20150237

Keywords: 空间异常探测,空间聚类,场论,空间异常度,
spatial outlier detection
,spatial clustering,field theory,spatial outlier measure

Full-Text   Cite this paper   Add to My Lib

Abstract:

从空间数据场的角度,借鉴高斯势函数发展了一种新的空间异常度度量指标。进而,提出了一种基于场论的空间异常探测方法。该方法通过空间聚类获得局部相关性较强的空间簇,并构建合理、稳定的空间邻近域。在此基础上,采用专题属性变化梯度修复策略减弱空间邻近域中潜在异常的影响,并利用空间异常度度量指标计算实体的异常度,从而探测空间异常。实验结果及实例证明了此方法的正确性

References

[1]  Chen D C, Lu C T, Kou Y F, et al. On Detecting Spatial Outliers[J].<em>GeoInformatica</em>, 2008, 12(4):455-475
[2]  Xue Anrong, Ju Shiguang. Outlier Mining Based on Spatial Constraint[J].<em>Computer Science</em>, 2007, 34(6):207-209, 230(薛安荣, 鞠时光. 基于空间约束的离群点挖掘[J]. 计算机科学, 2007, 34(6):207-209, 230)
[3]  Chen F, Lu C T, Boedihardjo A P. GLS-SOD:A Generalized Local Statistical Approach for Spatial Outlier Detection[C]. The 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, USA, 2010
[4]  Schubert E, Zimek A, Kriegel H P. Local Outlier Detection Reconsidered:A Generalized View on Locality with Applications to Spatial, Video, and Network Outlier Detection[J]. <em>Data Mining and Knowledge Discovery</em>, 2014, 28(1):190-237
[5]  Cai Q, He H B, Man H. Spatial Outlier Detection Based on Iterative Self-organizing Learning Model[J]. <em>Neurocompuing</em>, 2013, 117:161-172
[6]  Deng Min, Liu Qiliang, Li Guangqiang. Spatial Outlier Detection Method Based on Spatial Clustering[J]. <em>Journal of Remote Sensing</em>, 2010, 14(5):944-958
[7]  Ester M, Kriegel H P, Sander J, et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise[C].The 2nd International Conference on Knowledge Discovery and Data Mining, Portland, O R, 1996
[8]  Deng M, Liu Q L, Cheng T, et al. An Adaptive Spatial Clustering Algorithm Based on Delaunay Triangulation[J].<em>Computer, Environment, Urban and Systems</em>, 2011, 35(4):320-332
[9]  Li Deyi, Du Yi.Artificial Intelligence with Uncertainty (Second Edition)[M].BeiJing:National Defense Press, 2014(李德毅, 杜鹢. 不确定性人工智能(第2版)[M]. 北京:国防工业出版社, 2014)
[10]  Wu Tao, Qin Kun.Image Segmentation Using Cloud Model and Data Field[J]. <em>PR&AI</em>, 2012, 25(3):397-405(吴涛, 秦昆. 利用云模型和数据场的图像分割方法[J]. 模式识别与人工智能, 2012, 25(3):397-405)
[11]  Jiang Shengyi, Li Qinghua. GLOF:A New Approach for Mining Local Outlier[C].The 2nd International Conference on Machine Learning and Cybernetics, Xi'an, China, 2003
[12]  Rousseeuw P J, Hubert M. Robust Statistics for Outlier Detection[J]. <em>WIREs:Data Mining and Knowledge Discovery</em>, 2011, 1(1):73-79
[13]  Li Deren, Wang Shuliang, Li Deyi, et al. Theories and Technologies of Spatial Data Mining and Knowledge Discovery[J]. <em>Geomatics and Information Science of Wuhan University</em>,2002, 27(3):221-233(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和方法[J]. 武汉大学学报·信息科学版, 2002, 27(3):221-233)
[14]  Li Deren, Wang Shuliang, Li Deyi. Spatial Data Mining Theories and Applications[M]. Beijing:Science Press, 2013(李德仁, 王树良, 李德毅. 空间数据挖掘理论及应用[M]. 北京:科学出版社, 2013)
[15]  Liu Dayou, Chen Huiling, Qi Hong, et al. Advance in Spatiaotemporal Data Mining[J].<em>Journal of Computer Research and Development</em>, 2013, 50(2):225-239(刘大有, 陈慧灵, 齐红, 等. 时空数据挖掘研究进展[J]. 计算机研究与发展, 2013, 50(2):225-239)
[16]  Hawkins D. Identification of Outliers[M]. London:Chapman and Hall, 1980
[17]  Shekhar S, Lu C T, Zhang P S. A Unified Approach to Detecting Spatial Outliers[J]. <em>GeoInformatica</em>, 2003, 7(2):139-166
[18]  Haslett J, Brandley R, Craig P, et al. Dynamic Graphics for Exploring Spatial Data with Application to Locating Global and Local Anomalies[J].<em>The American Statistician</em>, 1991, 45(3):234-242
[19]  Ma Ronghua, He Zengyou. Fast Mining of Spatial Outliers from GIS Database[J].<em>Geomatics and Information Science of Wuhan University</em>, 2006, 31(8):679-682(马荣华, 何增友. 从GIS数据库中挖掘空间离群点的一种高效算法[J]. 武汉大学学报·信息科学版, 2006, 31(8):679-682)
[20]  Chawla S, Sun P. SLOM:A New Measure for Local Spatial Outliers[J]. <em>Knowledge and Information Systems</em>, 2006, 9(4):412-429
[21]  Wang Shuliang. Data Field and Cloud Model Based Spatial Data Mining and Konledge Discovery[D]. Wuhan:Wuhan University, 2002(王树良. 基于数据场与云模型的空间数据挖掘和知识发现[D]. 武汉:武汉大学, 2002)
[22]  Deng Min, Liu Qiliang, Li Guangqiang, et al. Field-Theory Based Spatial Clustering Method[J]. <em>Journal of Remote Sensing</em>. 2010, 14(4):694-709(邓敏, 刘启亮, 李光强,等. 基于场论的空间聚类算法[J]. 遥感学报. 2010, 14(4):694-709)
[23]  Gan Wenyan, Li Deyi, Wang Jianmin.An Hierarchical Clustering Method Based on Data Fields[J]. <em>Acta Electronica Sinica</em>, 2006, 34(2):258-262(淦文燕, 李德毅, 王建民. 一种基于数据场的层次聚类算法[J]. 电子学报, 2006, 34(2):258-262)
[24]  Kolingerova I, Zalik B. Reconstructing Domain Boundaries within A Given Set of Points Using Delaunay Triangulation[J].<em>Computers & Geosciences</em>, 2006, 32(9):1310-1319
[25]  Deng Min, Peng Dogliang, Liu Qiliang, et al. A Hierarchical Spatial Clustering Algorithm Based on Field Theory[J]. <em>Geomatics and Information Science of Wuhan University</em>, 2011, 36(7):847-852(邓敏,彭东亮, 刘启亮,等. 一种基于场论的层次空间聚类算法[J]. 武汉大学学报·信息科学版, 2011, 36(7):847-852)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133