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李德仁--Software and applications of spatial data mining

发布日期:2016-11-30 21:54:20 阅读次数:[1471]次 作者:

核心提示:来源出版物: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY

作者: Li, DR (Li, Deren); Wang, SL (Wang, Shuliang); Yuan, HN (Yuan, Hanning); Li, DY (Li, Deyi)
来源出版物: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY  卷: 6  期: 3  页: 84-114  DOI: 10.1002/widm.1180  出版年: MAY-JUN 2016
摘要: Most big data are spatially referenced, and spatial data mining (SDM) is the key to the value of big data. In this paper, SDM are overviewed in the aspects of software and application. First, spatial data are summarized on their rapid growth, distinct characteristics, and implicit values. Second, the principles of SDM are briefed with the descriptive definition, fundamental attributes, discovery mechanism, and usable methods. Third, SDM software is presented in the context of software components, developing methodology, typical software for geographical information system (GIS) data and remote sensing (RS) images, and software trend. Fourth, SDM applications are outlined on GIS data, RS image, and spatiotemporal video data. The final is the concluding remarks and perspectives. WIREs Data Mining Knowl Discov 2016, 6:84-114. doi: 10.1002/widm.1180 For further resources related to this article, please visit the .


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