Spectral Feature Selection for Data Mining

Chapter 1

Data of High Dimensionality and

Challenges

Data mining is a multidisciplinary methodology for extracting nuggets of

knowledge from data. It is an iterative process that generates predictive and

descriptive models for uncovering previously unknown trends and patterns via

analyzing vast amounts of data from various sources. As a powerful tool, the

data mining technology has been used in a wide range of profiling practices,

such as marketing, decision-making support, fraud detection, and scientific

discovery, etc. In the past 20 years, the dimensionality of the data sets in-

volved in data mining applications has increased dramatically. Figure