[1] M Ester, H P Kriegel, J Sander. Spatial data mining: A database approach, in Advances in Spatial Databases, 1997, 1262: 47~66.
[2] Salvatore Rinzivillo, Franco Turini. Knowledge discovery from spatial transactions. Journal of Intelligent Information Systems, 2007, 28(1): 1~2.
[3] Lu W, Han J, et a1. Discovery of general knowledge in large spatial databases. In: Proc. Far East Workshop on Geographie Information Systems. Singapore, 1993, 275~ 289.
[4] Eliseo Clementini, Paolino Di Felice, Krzysztof Koperski. Mining multiple- level spatial association rules for objects with a broad boundary. Data & Knowledge Engineering, 2000, 34(3): 251~270.
[5] 吕曹芳, 庞宇, 罗永龙. 基于GIS 空间关联规则的挖掘综述. 资源开发与市场, 2007, 23(4): 323~325.
[6] K Koperski, J Han. Discovery of spatial association rules in geographic information databases. Lecture Notes In Computer Science, 1995, 951: 47~66.
[7] 王海起, 王劲峰等. 空间数据挖掘技术研究进展. 地理与地理信息科学, 2005, 21(4): 6~10.
[8] Wang S L, Guoqing Chen, Deyi Li, et al. A try to handing uncertainties in spatial data mining. Lecture Notes in Artificial Intelligence, 2004, 3215:513~520.
[9] 李德仁, 王书良, 李德毅. 空间数据挖掘理论与应用. 北京: 科学出版社, 2006, 10: 7~16.
[10] 赵文武, 傅伯杰, 吕一河等. 多尺度土地利用与土壤侵蚀. 地理科学进展, 2006, 25(1): 24~33.
[11] R Agrawal, T Imielinskin, A Swami. Mining Association Rules between Sets of Items in Large Databases, Proc, ACM SIGMOD, 1993, 207~216.
[12] R Agrawal, R Srikant. Fast Algorithms for Mining Association Rules in Large Databases. In Proc. 1994 Int. Conf. VLDB, 1994, 487~499.
[12] K Koperski, J Han. Discovery of spatial association rules in geographic information databases. Lecture Notes In Computer Science, 1995, 951:47~66.
[13] Robert Bembenik, Henryk Rybi"ski. Mining Spatial Association Rules with No Distance Parameter. In Proc. Intelligent Information Processing and Web Mining. Springer Berlin/Heidelberg, 2006, 35: 499~508.
[14] 苏奋振, 杜云艳, 杨晓梅等. 地学关联规则与时空推理的渔业分析应用. 地球信息科学, 2004, 6(4): 68~69.
[15] 刘独玉, 杨晋浩, 钟守铭. 关联规则挖掘研究综述. 成都大学学报(自然科学版), 2006, 25(1): 54~57.
[16] 马荣华, 蒲英霞, 马小冬. GIS 空间关联模式发现. 北京:科学出版社, 2007.
[17] Estivill Castro V, Murray A T. Discovering associations in spatial data~ an efficient medoid based approach. In:Proc. Of PAKDD’98, 1998, 110~121.
[18] Estivill Castro V, Lee I. Data mining techniques for autonomous exploration of large volumes of geo~referenced cirme data. In: Proc. Of the 6th international conference of geocomputation, 2001.
[19] Ceci M, Appice A, Malerba D. Spatial associative classification at different levels of granularity: A probabilistic approach. Knowledge Discovery in Databases: Pkdd 2004, Proceedings. Springer Berlin/Heidelberg, 2004, 3202:99~111.
[20] Shekhar S, HuangY. Discovering spatial co- location patters: a summary of results. In: Processdings o f7th International Symposium o n Spatial and Temporal Databases, 2001, 236~256.
[21] 倪凯, 祝晓东, 张超. 基于关联规则的空间数据知识发现及实现. 计算机应用与软件, 2005, 22(12): 34~35.
[22] 陈江平. 空间关联规则挖掘算法研究. 计算机工程, 2004, 30(23): 53~55.
[23] 袁红春, 熊范纶. 元规则指导下的逐步求精多层空间关联规则挖掘算法. 计算机工程, 2004, 30(8): 34~39.
[24] Annalisa Appice, Margherita Berardi, Michelangelo Ceci, et al. Mining and Filtering Multi- level Spatial Association Rules with ARES. Foundations of Intelligent Systems. Springer Berlin/Heidelberg, 2005, 3488:342~353.
[25] 陆勤, 刘胜军, 蔡庆生. 空间关联规则发掘的一种渐进求精算法. 计算机应用研究, 2006, (6): 10~11.
[26] Ansaf Salleb, Christel Vrain. An Application of Association Rules Discovery to Geographic Information Systems. In Proc. Principles of Data Mining and Knowledge Discovery. Springer Berlin/Heidelberg, 2000, 1910 : 613~618.
[27] CHEN Jiangping, FU Zhongliang, BIAN Fuling, etal. Mining Spatial Association Rules with Spatial Analysis. Computer Engineering, 2003, 29(11):29~31.
[28] 刘君强, 潘云鹤. 挖掘空间关联规则的前缀树算法设计与实现.中国图象图形学报, 2003, 8(4): 476~480.
[29] Francesca A. Lisi, Donato Malerba. Inducing Multi- Level Association Rules from Multiple Relations. Machine Learning, 2004, 55 (2): 175~208.
[30] 李宏, 蔡之华. 应用于空间关联规则挖掘的ILP 方法. 计算机工程与应用, 2003, 16: 188~197.
[31] 马荣华, 马小冬, 蒲英霞. 从GIS 数据库中挖掘空间关联规则研究. 遥感学报, 2005, 9(6): 733~741.
[32] Qin Ding, Qiang Ding, William Perrizo. Association Rule Mining on Remotely Sensed Images Using P- trees. In Proc. Advances in Knowledge Discovery and Data Mining. Springer Berlin/Heidelberg, 2002, 2336: 66~79.
[33] Anthony J T Lee, Ruey-Wen Hong, Wei-Min Ko, et al. Mining spatial association rules in image databases. Information Sciences, 2006, 177(7): 1593~1608.
[34] Robert Bembenik, Henryk Rybi#ski. Mining Spatial Association Rules with No Distance Parameter. Intelligent Information Processing and Web Mining. Springer Berlin/Heidelberg, 2006, 35:499~508.
[35] 刘大有, 王生生, 虞强源等. 基于定性空间推理的多层空间关联规则挖掘算法. 计算机研究与发展, 2004, 41(4): 565~ 570.
[36] LAN Rongqing, LIU Zengliang, YANG Xiaomei. Methods of Mining Fuzzy Spatial Association Rules. Journal of Institute of Surveying and Mapping, 2005, 22(1): 36~39.
[37] Beaubouef Theresa, Petry Frederick E. A rough set foundation for spatial data mining involving vague regions. IEEE International Conference on Plasma Science, 2002, 1: 767~772.
[38] Beaubouef Theresa, Ladner Roy, Petry Frederick . Rough Set Spatial Data Modeling for Data Mining. International Journal of Intelligent Systems, Granular Computing and Data Mining , 2004, 19(7): 567~584.
[39] Seo Eun~Kyoung, Biggerstaff, Michael I. Impact of cloud model microphysics on passive microwave retrievals of cloud properties. Part II: Uncertainty in rain, hydrometeor structure, and latent heating retrievals. Journal of Applied Meteorology and Climatology, 2006, 45(7): 955~972.
[40] Yang Bin, Zhu, Zhong~Ying. Mining multilevel spatial association rules with cloud models. Journal of Harbin Institute of Technology (New Series), 2005, 12(3):314~318.
[41] Wang Xiao Hui, Xie Jiancang, Li Jianxun, et al. Implementation of GIS spatial data mining based on cloud theory. Proceedings ~ 2006 International Conference on Hybrid Information Technology, ICHIT 2006, 2006, 1: 530~534.
[42] D. Bruzzese, C. Davino. Visual post analysis of association rules. Journal of Visual Languages and Computing, 2003, 14(6): 621~635.
[43] Annalisa Appice, Paolo Buono. Analyzing Multi- level Spatial Association Rules Through a Graph- Based Visualization. In Proc. Innovations in Applied Artificial Intelligence. Springer Berlin/Heidelberg, 2005, 3533: 448~457.
[44] 涂建东, 陈崇成, 樊明辉等. 基于Java3D 的空间关联规则可视化原理与实现. 高技术通讯, 2004(6): 98~99.
[45] L K Sharma, O P Vyas, U S Tiwary, et al. A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases. Machine Learning and Data Mining in Pattern Recognition. Springer Berlin/Heidelberg, 2005, 3587: 620~629.
[46] Wu X, Zhang C, Zhang S. Efficient Mining of Both Positive and Negative Association rule. ACM Tran. On Information System, 2004, 22(3), 381~405.
[47] William Perrizo, Qin Ding, Qiang Ding, et al. Deriving High Confidence Rules from Spatial Data Using Peano Count Trees. In Proc. Advances in Web~Age Information Management. Springer Berlin/Heidelberg, 2001, 2118:91~102.
[48] 蒋艳, 周成虎, 程维明. 新疆阿克苏河流域年径流时序特征分析. 地理科学进展, 2005, 24(1): 87~96.
|