Data Mining Resolution on High Dimensional Data

Abstract

Nowadays most of the data analysts are working with Big Data. Big Data means large-volume, complex, increasing data sets with various, and independent sources. Currently Big Data are quickly expanding in all science and engineering domains, including physical, biological and biomedical sciences due to the rapid development of networking, data storage, the data collection capability. We present a theorem that illustrates the features of the Big Data, and proposes a Big Data processing model. This data-driven model includes demand-driven aggregation of information bases, mining and exploration, user interest modeling, security, and privacy considerations. We analyze the problematic issues in the data-driven model as well as in the Big Data revolution.