The design, development and maintenance of a projectile system generate a significant amount of information, data, knowledge and documentation for its end use. The real worth of these databases lies not only in easy data access, but also in the additional possibility of extracting the engineering knowledge implicitly contained in these data. As Data Mining (DM) or Knowledge Discovery in Databases (KDD) has been evolved into an important and active research area in theoretical as well as practical applications challenges for last few decades, therefore, the problem associated with the extracting and discovering previously unknown knowledge from large databases along with the analytical modeling and data driven techniques gain more and more importance in this context. Reflecting this trend, the paper discusses an overview on the fundamental issues of DM or KDD and then its application in projectile system performance evaluation as a case study from the armament industry.

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