A mutual-information-based mining method for marine abnormal association rules
文献类型：期刊论文
| 作者 | Xue Cunjin1; Song Wanjiao1; Qin Lijuan1; Dong Qing1; Wen Xiaoyang1 |
| 刊名 | COMPUTERS & GEOSCIENCES
 |
| 出版日期 | 2015 |
| 卷号 | 76页码:1425-1448 |
| 关键词 | Mutual information Data mining Quantitative association rule Marine abnormal association rules |
| 通讯作者 | Dong, Q (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. |
| 英文摘要 | Long time series of remote sensing images are a key source of data for exploring large-scale marine abnormal association patterns, but pose significant challenges for traditional approaches to spatio-temporal analysis. This paper proposes a mutual-information-based quantitative association rule-mining algorithm (MIQarma) to address these challenges. MIQarma comprises three key steps. First, MIQarma calculates the asymmetrical mutual information between items with one scan of the database, and extracts pair-wise related items according to the user-specified information threshold. Second, a linking-pruning-generating recursive loop generates (k+1)-dimensional candidate association rules from k-dimensional rules on basis of the user-specified minimum support threshold, and this step is repeated until no more candidate association rules are generated. Finally, strong association rules are generated according to the user-specified minimum evaluation indicators. To demonstrate the feasibility and efficiency of MIQarma, we present two case studies: one considers performance analysis and the other identifies marine abnormal association relationships. (C) 2014 Elsevier Ltd. All rights reserved. |
| 研究领域[WOS] | Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000349735900013 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38265]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Xue Cunjin 2.Song Wanjiao 3.Qin Lijuan 4.Dong Qing 5.Wen Xiaoyang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xue Cunjin,Song Wanjiao,Qin Lijuan,et al. A mutual-information-based mining method for marine abnormal association rules[J]. COMPUTERS & GEOSCIENCES,2015,76:1425-1448. |
| APA | Xue Cunjin,Song Wanjiao,Qin Lijuan,Dong Qing,&Wen Xiaoyang.(2015).A mutual-information-based mining method for marine abnormal association rules.COMPUTERS & GEOSCIENCES,76,1425-1448. |
| MLA | Xue Cunjin,et al."A mutual-information-based mining method for marine abnormal association rules".COMPUTERS & GEOSCIENCES 76(2015):1425-1448. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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