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元规则指导下的逐步求精多层空间关联规则挖掘算法
Meta-rule-guided Mining Multiple-level Spatial Association Rules Based on Progressive Refinement

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袁红春 1   熊范纶 2  
文摘 提出了元规则指导下逐步求精的多层空间关联规则挖掘算法,该算法采用了自顶向下、逐步求精以及元规则等技术.文章最后以挖掘农产品市场的芝麻价格与铁路、国道和河流间的空间关联关系为例,介绍此算法的应用.
其他语种文摘 In order to find out the genes involved in the tumorigeneais of laryngeal carcinoma,we analyzed 18 laryngeal car-cinoma with comparative genomic hybridization. Results show that each one has different degree of variances,included gains and losses of partial and whole chromosome. Each case has 12.9 abnormal regions averagely; losses are more than gains, equal to 7. 2 and 5. 7 per case respectively. Main regions are gains in chromosomes 3q(78% ) ,5p(61% ) ,llq(56% ) ,lq (50% ) ,8p(44% ) ,8q(39%) and 15q(39% ) ,and losses of 3p(70% ) ,5q(78% ) ,9p(67% ) ,13q(50% ) ,lp(44% ) and 14q(39% ). There are many specific gains and losses in several chromosomes, especially the increase of copy number karyotype in Ipl3-21 (8/18 ) ,3p21-23( 14/18) ,5p21-22( 14/18) ,9pl2-pter( 10/18) and 13q21-31 ( 8/18 ), while the de-crease in lqll-21 (11/18) ,3ql5-21 (12/18) ,8p22-24(6/18 ) , Ilql2-13 ( 8/18 ) , 15q21-23 (7/18 ) fP 18pl 1(8/18) are the characteristic varieties. These results suggest that there are oncogenestumor suppressor gene and other associated genes involved in the tumorigenesis.
来源 计算机工程 ,2004,30(8):34-36,39 【核心库】
关键词 空间数据挖掘 ; 空间关联规则 ; 元规则 ; 概念树
地址

1. 上海水产大学计算机学院, 上海, 200090  

2. 中国科学院合肥智能机械研究所, 合肥, 230031

语种 中文
文献类型 研究性论文
ISSN 1000-3428
学科 自动化技术、计算机技术
基金 国家自然科学基金资助项目 ;  上海水产大学校长专项基金
文献收藏号 CSCD:1810300

参考文献 共 5 共1页

1.  Fu Y. Meta-rule-guided Mining of Association Rules in Relational Databases. First International Workshop on Integration of Knowledge Discovery with Deductive and Object-oriented Databases (KDOD'95) [C],1995:39-46 CSCD被引 1    
2.  Ng R T. Exploratory Mining and Pruning Optirnizations of Constrained Associations Rules. ACMSIGMOD Conference on Management of Data,1998:13 CSCD被引 1    
3.  Tsur D. A Generalization of Association-rule Mining [C]. ACM-SIGMOD Conference on Management of Data,1998:1-12 CSCD被引 1    
4.  Kopershi K. Progressive Refinement Method for Spatial Data Mining [D]. Progressive Refinement Method for Spatial Data Mining,1999 CSCD被引 1    
5.  Clementini E. Mining Multiple-level Spatial Association Rules for Objects with a Broad Boundary [J]. Data &Knowledge Engineering,2000:251-270 CSCD被引 15    
引证文献 5

1 袁红春 基于互联网的市场行情可视化信息系统 计算机工程,2005,31(23):216-218
CSCD被引 2

2 樊明辉 基于Web的空间关联规则提取及可视化的实现 计算机应用研究,2006,23(2):157-159
CSCD被引 0 次

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