数据挖掘技术中基于模式匹配算法的药物化合物结构高效分析

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI:10.1109/ICCIC.2014.7238456

V. Palanisamy, A. Kumarkombaiya

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引用次数: 1

摘要

所提出的方法涉及通过从官能团中检索数字格式的数据来查找药物化合物的链细节。利用增强型Knuth-Morris-Pratt算法的数据挖掘技术，可以很容易地实现基于相互连接的官能团的字符串数据中化合物的模式识别，这与数字数据相似。

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Efficient analysis of pharmaceutical compound structure based on pattern matching algorithm in data mining techniques

The proposed methodology involved to finding the chain details of pharmaceutical compound by retrieving the data in numeric format which is taken from functional group. The data mining technique of Enhanced Knuth-Morris-Pratt algorithm used to readily implement to identify the pattern of chemical compounds as in string data based on functional groups connected to one another which is similar from the numeric data.

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2014 IEEE International Conference on Computational Intelligence and Computing Research

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