Model Indentification through Data Mining

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Author(s): Diego Liberati (Consiglio Nazionale delle Ricerche, Italy)
Copyright: 2005
Pages: 6
Source title: Encyclopedia of Data Warehousing and Mining
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59140-557-3.ch156

Keywords: Data Mining and Databases / Data Warehousing / Information Science Reference / Library & Information Science

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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.

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Model Indentification through Data Mining

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