机构

• 沈阳自动化研究所 [3]
• 数学与系统科学研究院 [2]
• 遥感与数字地球研究所 [2]
• 软件研究所 [1]

采集方式

• OAI收割 [8]

内容类型

• 会议论文 [6]
• 期刊论文 [2]

发表日期

• 2009 [3]
• 2008 [1]
• 2007 [1]
• 2002 [1]
• 2001 [1]
• 2000 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共8条，第1-8条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 The research of A-Priori Algorithm Candidates Based on Support Counts 会议论文  OAI收割 International Conference on Information Technology and Computer Science, Kiev, UKRAINE, July 25-26, 2009 作者:  Zhou HY(周焕银);  Liu JS(刘金生) 收藏  |  浏览/下载：10/0  |  提交时间：2012/06/06 A-Priori algorithm  associational rule  constant onfix item support count  independent support count   A Novel Algorithm for Association Rule Mining Without Candidate 会议论文  OAI收割 1st IITA International Joint Conference on Artificial Intelligence, Hainan Isl, China, April 25-May 26, 2009 作者:  Zhou HY(周焕银);  Liu JS(刘金生) 收藏  |  浏览/下载：27/0  |  提交时间：2012/06/06 association rule mining  And Code algorithm  frequent itemsets  A-Priori algorithm   Laws on Support Counts of Apriori Algorithm Candidates 会议论文  OAI收割 1st IITA International Joint Conference on Artificial Intelligence, Hainan Isl, China, April 25-May 26, 2009 作者:  Zhou HY(周焕银);  Liu JS(刘金生) 收藏  |  浏览/下载：15/0  |  提交时间：2012/06/06 A-Priori algorithm  associational rule  constant on fix item support count  independent support count   A novel spatial clustering algorithm based on Delaunay triangulation 会议论文  OAI收割 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Yang, Xiankun; Cui, Weihong 收藏  |  浏览/下载：21/0  |  提交时间：2014/12/07 Exploratory data analysis is increasingly more necessary as larger spatial data is managed in electro-magnetic media. Spatial clustering is one of the very important spatial data mining techniques. So far  a lot of spatial clustering algorithms have been proposed. In this paper we propose a robust spatial clustering algorithm named SCABDT (Spatial Clustering Algorithm Based on Delaunay Triangulation). SCABDT demonstrates important advantages over the previous works. First  it discovers even arbitrary shape of cluster distribution. Second  in order to execute SCABDT  we do not need to know any priori nature of distribution. Third  like DBSCAN  Experiments show that SCABDT does not require so much CPU processing time. Finally it handles efficiently outliers. 2008 SPIE.   Retrieval of LAI by assimilating remotely sensed data into a simple crop growth model - art. no. 67521O 会议论文  OAI收割 Geoinformatics 2007: Remotely Sensed Data and Information, Pts 1 and 2, Bellingham Yang, Xiaoyan; Mu, Xihan; Wang, Dongwei; Li, Zhaoliang; Zhang, Wuming; Yan, Guangjian 收藏  |  浏览/下载：26/0  |  提交时间：2014/12/07 assimilation  crop growth model  LAI  variation algorithm  background  A-PRIORI KNOWLEDGE  GLOBAL OPTIMIZATION  INVERSION   objective-oriented utility-based association mining 会议论文  OAI收割 2nd IEEE International Conference on Data Mining, MAEBASHI CITY, JAPAN, DEC 09-12, Shen YD; Zhang Z; Yang Q   |  收藏  |  浏览/下载：17/0  |  提交时间：2011/07/29 a priori algorithm  association pattern discovery  association pattern modeling  business  data mining  enterprise  objective-oriented utility-based association mining  pruning strategy  semantic information  data mining   Local and parallel finite element algorithms based on two-grid discretizations for nonlinear problems 期刊论文  OAI收割 ADVANCES IN COMPUTATIONAL MATHEMATICS, 2001, 卷号: 14, 期号: 4, 页码: 293-327 作者:  Xu, JC;  Zhou, AH   |  收藏  |  浏览/下载：18/0  |  提交时间：2018/07/30 adaptive  finite elements  local a priori and a posteriori error  estimates  nonlinear  parallel algorithm  two-grid method   Local and parallel finite element algorithms based on two-grid discretizations 期刊论文  OAI收割 MATHEMATICS OF COMPUTATION, 2000, 卷号: 69, 期号: 231, 页码: 881-909 作者:  Xu, JC;  Zhou, AH   |  收藏  |  浏览/下载：16/0  |  提交时间：2018/07/30 adaptive  finite elements  local a priori and a posteriori error estimates  nonsymmetric  parallel algorithm  two-grid method