| 书目名称 | Spatial Data Mining | | 副标题 | Theory and Applicati | | 编辑 | Deren Li,Shuliang Wang,Deyi Li | | 视频video | | | 概述 | Presents up-to-date work on core theories and applications of spatial data mining, combining the principles of data mining and geospatial information science.Proposes data fields, cloud model, and min | | 图书封面 |  | | 描述 | .· This book is an updated version of awell-received book previously published in Chinese by Science Press of China(the first edition in 2006 and the second in 2013). It offers a systematic andpractical overview of spatial data mining, which combines computer science andgeo-spatial information science, allowing each field to profit from theknowledge and techniques of the other. To address the spatiotemporalspecialties of spatial data, the authors introduce the key concepts andalgorithms of the data field, cloud model, mining view, and Deren Li methods.The data field method captures the interactions between spatial objects bydiffusing the data contribution from a universe of samples to a universe ofpopulation, thereby bridging the gap between the data model and the recognitionmodel. The cloud model is a qualitative method that utilizes quantitativenumerical characters to bridge the gap between pure data and linguisticconcepts. The mining view method discriminates the different requirements byusing scale, hierarchy, and granularity in order to uncover the anisotropy ofspatial data mining. The Deren Li method performs data preprocessing to prepareit for further knowledge discov | | 出版日期 | Textbook 2015 | | 关键词 | Spatial data mining; Data field; Cloud model; Big data clustering; GIS data mining; Remote sensing image | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-48538-5 | | isbn_softcover | 978-3-662-56936-8 | | isbn_ebook | 978-3-662-48538-5 | | copyright | Springer-Verlag Berlin Heidelberg 2015 |
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发表于 2025-3-21 16:57:16
