Data mining using hace theorem

Big Data consists of huge modules, difficult, growing data sets with numerous and, independent sources. With the fast development of networking, storage of data, and the capacity of data gathering, Big Data is now rapidly increasing in all science and engineering domains, as well as animal, genetic and biomedical sciences. This paper detailed a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining view. This data-oriented model contains demand-driven aggregation of information sources, mining and study, user data modeling, and security and privacy problems .We examine the difficult issues in the data-oriented model and also in the Big Data revolution.