Data mining, which consists of finding the trends or patterns in large data sets, in order to guide decisions about future activities, is discussed. It is related to the sub-area of statistics called Exploratory Data Analysis and the sub-areas of artificial intelligence called Knowledge Discovery and Machine Learning. There are various data mining techniques such as association analysis, clustering and decision tree classification. These techniques can be applied to the materials science domain, with the goal of making estimations useful for Decision Support in the industry.
|Number of pages||2|
|Journal||Heat Treating Progress|
|Publication status||Published - 1 Jan 2004|