Implementation of data mining approach for building automated decision support systems

Decision support systems (DSS) has remarkably increased in today´s competitive business environment. Organizations are aggressively emphasizing on computerized support for building comprehensive automated DSS. The main purpose behind this approach is to build intelligent business and reduces the business pressure from the competitors. In this paper, we proposed a model for building efficient DSS with connection of data mining view. The presented model guide the business leaders to get extra support from data mining abstract to create effective DSS and compete the business world with more appropriate manner. Model represent the combination of DSS components and data mining tasks for the generation of better decisions, results, rules, and patterns from operational databases.