Database Encoding and A New Algorithm for Association Rules Mining

Database Encoding and A New Algorithm for Association Rules Mining

This paper proposes a method to encode database. By this way, a record is denoted by only one binary number, so the size of the database is reduced sharply. If some known modified algorithms are used on the database encoded, the efficiency will be improved significantly. At the meantime, a new algorithm based on the proposed encoding method is introduced too. By using some properties of numbers, the itemsets of the database can be converted into numerical fields. Different from the Apriori, the new algorithm discovers the association rules from the largest frequent itemset at first, and then all subitemsets, which are also frequent, will be gotten without any calculation, and all the other small none-frequent itemsets that must be generated in the Apriori will be omitted, and the scan times of the database are also reduced. Test results show the new algorithm based on the encoding database has a lower complexity of time and space.