Mining Association Rules on DNA Sequences

Abstract

Database mining is the process of extracting interesting and previously unknown patterns and correlations from data stored in Database Management System (DBMS). Association rule mining is the process of discovering items, which tend to occur together in transactions. Biological data mining becomes an essential part of bioinformatics. We identify DNA sequence pattern and obtain association rule from these frequently occurred DNA sequence item sets. A linear string or sequence of DNA is translated into sequence of amino acids. In this system, frequent item sets will be generated from DNA sequences datasets using FP-tree. We outline mining sequential patterns. The association rules we employ have the ability to extract the frequent pattern in particular genetic disease. The rules of interest are those whose set of frequent patterns are strongly associated to occur genetic disease