The key data mining models for high dimensional data

Abstract

With the rapid development of computational biology and e-commerce applications, high-dimensional data becomes more and more powerful. Thus, it is an urgent problem of great importance when mining high-dimensional data. However, there are some challenges for mining data of high dimensions, the first one is the curse of dimensionality and the second one is the meaningfulness of the similarity measure in the high dimension space. In this paper, we present several state-of-art techniques for constructing three data mining models with analyzing high-dimensional data, these models include frequent pattern mining, clustering, and classification. And we discuss how these methods deal with the challenges of high dimensionality. © 2013 Springer-Verlag.