| 書目名稱 | Knowledge Discovery in Spatial Data | | 編輯 | Yee Leung | | 視頻video | http://file.papertrans.cn/544/543880/543880.mp4 | | 概述 | Includes supplementary material: | | 叢書名稱 | Advances in Spatial Science | | 圖書封面 |  | | 描述 | When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: “the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing | | 出版日期 | Book 2009 | | 關(guān)鍵詞 | Algorithm; Clustering; Geographical Information System; Knowledge Discovery; Remote Sensing; Spatial Data | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-02664-5 | | isbn_softcover | 978-3-642-26170-1 | | isbn_ebook | 978-3-642-02664-5Series ISSN 1430-9602 Series E-ISSN 2197-9375 | | issn_series | 1430-9602 | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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