  Advanced engineering materials design involves the exploration of massive
multidimensional feature spaces, the correlation of materials properties and
the processing parameters derived from disparate sources. The search for
alternative materials or processing property strategies, whether through
analytical, experimental or simulation approaches, has been a slow and arduous
task, punctuated by infrequent and often expected discoveries. A few systematic
efforts have been made to analyze the trends in data as a basis for
classifications and predictions. This is particularly due to the lack of large
amounts of organized data and more importantly the challenging of shifting
through them in a timely and efficient manner. The application of recent
advances in Data Mining on materials informatics is the state of art of
computational and experimental approaches for materials discovery. In this
paper similarity based engineering materials selection model is proposed and
implemented to select engineering materials based on the composite materials
constraints. The result reviewed from this model is sustainable for effective
decision making in advanced engineering materials design applications.
