Sequential pattern mining on chemical bonding database in the bioinformatics field

Abstract

In recent decades, the bioinformatics, biology and biotechnology plays a major role in accumulation of numerous biomedical data, which offers an in-depth analysis. On other hand, with the advent of data mining research leads to the development of scalable and efficient models for mining some interesting data pattern in case of small or large databases. It is hence essential to bridge bioinformatics with data mining models for successful implementation of finding the meaning pattern in case of biological data. In this paper, we present a comprehensive survey on various data mining models that helps in analyzing the chemical bonding and its structured index in case of sequential pattern mining.