【作者】 郭达志； 何彬彬；

【Author】 Guo Da-zhi, He Bin-bin (Department of Surveying & Land Science, China University of Mining and Technology, Beijing,100083)

【机构】 中国矿业大学地理信息与遥感科学系；

【摘要】 近年来,空间数据挖掘与知识发现(SDM&KDD)己成为空间信息技术的一个重要研究领域,并且己取得了许多重要研究成果。目前的研究热点包括:面向海量空间数据的挖掘算法,遥感影像数据的挖掘和分布式(网络)空间数据的挖掘与知识发现等。目前有一重要却尚未引起足够重视的问题,是揭示、分析和表达空间数据挖掘过程及其结果的不确定性。本文简要论述空间数据的不确定性及其传播,SDM&KDD的主要技术方法,以及SDM&KDD过程及其结果的不确定性问题,如它的算法、处理、传播模型和质量评价等。更多还原

【Abstract】 In the past years, spatial data mining and knowledge discovery from database (SDM&KDD) have become an important research field in spatial information technology, and the results are plentiful. However, an important issue but remains underdeveloped is to reveal and handle the uncertainties of panems and features in the course of SDM&KDD and their achievements. In this paper the spatial data uncertainty and its propagation, the main techniques and approaches of SDM&KDD, and the uncertainties of SDM&KDD are briefly described, including their algorithms, processing, propagation models and quality assessment.更多还原