Scientific data mining: A case study

被引：0

作者：

Chang, CY ^{[1
]}

Wang, JTL ^{[1
]}

机构：

[1] New Jersey Inst Technol, Dept Comp & Informat Sci, Newark, NJ 07102 USA

来源：

SEKE '96: THE 8TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, PROCEEDINGS | 1996年

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Scientific data mining is the activity of finding significant information in scientific data. This paper presents an example of scientific data minings the discovery of (approximately) common patterns in RNA secondary structures. We represent an RNA secondary structure by an ordered labeled tree based on a previously proposed scheme. The patterns in the trees are substructures that. can differ in both substitution and deletion/insertion of nodes. Our techniques incorporate tree matching algorithms and novel heuristics for discovery and optimization. Experimental results obtained by running these algorithms on both generated data and RNA secondary structures show the good performance of the algorithms.

引用

页码：100 / 107

页数：8

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