Data mining has become an increasingly popular activity in all areas of research, from business to science, biometrics being no exception. Data mining is the computer-intensive activity of exploring large data sets with the purpose of discovering, within a subset of data, some relationship of patterns or hypothesis that may be worthy of further study (Hernandez-Aguilar et al., 2008; Amaratunga & Cabrera, 2004). According to a widely accepted definition, knowledge discovery in databases (KDD), more widely known as data mining, is a non-trivial process of identifying valid, novel, potentially useful and understandable patterns in data (Fayyad et al., 1996).
CITATION STYLE
Alberto, J., Zavala, C., Diaz, O., Burlak, G., Ochoa, A., & Cesar, J. (2011). Biometric Data Mining Applied to On-line Recognition Systems. In Biometrics - Unique and Diverse Applications in Nature, Science, and Technology. InTech. https://doi.org/10.5772/15836
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