Application of Machine Learning Algorithm for Query Processing in Distributed Database System

This paper has presented an application of machine learning algorithm for query processing in distributed database (DDB) system. A database of a security agency was studied and a database structure was developed to manage the system. The developed database structure was modeled for distributed database management in handling information on crimes and other related security matters. A programme to compute query for proper and optimal processing using machine learning algorithm was developed. The machine learning algorithm used in this paper is the Iterative Dichotomizer 3 (ID3). The analysis and test results obtained shows that the developed system improved the query time of the distributed database system.