書目名稱 | Temporal, Spatial, and Spatio-Temporal Data Mining | 副標(biāo)題 | First International | 編輯 | John F. Roddick,Kathleen Hornsby | 視頻video | http://file.papertrans.cn/903/902983/902983.mp4 | 概述 | Includes supplementary material: | 叢書名稱 | Lecture Notes in Computer Science | 圖書封面 |  | 描述 | This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Prin- ples and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included | 出版日期 | Conference proceedings 2001 | 關(guān)鍵詞 | DOM; Discovery Science; Geographic Information Processing; Knowledge Discovery; Knowledge Engineering; Sp | 版次 | 1 | doi | https://doi.org/10.1007/3-540-45244-3 | isbn_softcover | 978-3-540-41773-6 | isbn_ebook | 978-3-540-45244-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 | issn_series | 0302-9743 | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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書目名稱Temporal, Spatial, and Spatio-Temporal Data Mining影響因子(影響力) 
書目名稱Temporal, Spatial, and Spatio-Temporal Data Mining影響因子(影響力)學(xué)科排名 
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書目名稱Temporal, Spatial, and Spatio-Temporal Data Mining被引頻次 
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