Big Data: Challenges with Big Data Mining

The term Big Data refers to large-scale information management and analysis technologies that exceed the capability of traditional data processing technologies. With the fast development of networking, data storage, and the data collection capacity, Big Data is now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This article presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

Keywords:

Data Mining , Big Data Processing and Data-Driven Model