期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：4
页码：3228-3230
DOI：10.15680/IJIRCCE.2018.0604006
出版社：S&S Publications
摘要：In a data mining similarity searching of a medical field is widespread problem of modern database
application in chemical genomics, drug design and chemical research database. Search problem in chemical database
are rarely based on exact matches rather than specific notion similarity. In data mining various graph kernel function
designed to capture the intrinsic similarity of graphs. The graph kernel function used to similarity search for efficient
and accurate similarity search in chemical database. Measure similarity of a graph represented a chemical structure
utilize a new kernel function is G hash method. The g-hash method efficient and fast search method achieves k nearest
neighbour classification.
