Model Indentification through Data Mining

Abstract

In many fields of research as in everyday life, one has to face a huge amount of data, often not completely homogeneous and many times without an immediate grasp of an underlying simple structure. A typical example is the growing field of bio-informatics, where new technologies, like the so-called micro-arrays, provide thousands of gene expression data on a single cell in a simple and quickly integrated way. Further, the everyday consumer is involved in a process not so different from a logical point of view, when the data associated with the consumer’s identity contributes to a large database of many customers whose underlying consumer trends are of interest to the distribution market.