Data Mining in Chemical Process Industry
Data mining is the computing process of learning patterns in huge data sets involving methods at the intersection of statistics, and database systems. Data mining is the analysis step of the “knowledge discovery in databases” process, or KDD. Data mining techniques are becoming increasingly important in chemistry as databases become very large to examine by hand. Data mining methods from the field of Inductive Logic Programming (ILP) have potential advantages for structural chemical data. Data mining was used to find all frequent substructures in the database, and knowledge of these frequent substructures is shown to add value to the database. Only by using a data mining algorithm, and by doing a complete search, is it possible to prove such a result. In this paper, study of data mining methods was presented which is the main novel tool for studying chemical databases.
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