Research on conflict resolution of multi data sources

In today's era, data can be said to dominate everything, a simple information explosion has not been enough to describe. Big data has penetrated into all aspects. It accumulated a large number of poor data (incorrect, inconsistent). Data generated continuously. It has brought great challenges to solve the problem. So the data conflict is an urgent problem to be solved. The most important way to solve the data conflict is the discovery of its true value. Different from the past, we consider the reliability and the authority of the data sources when it is voting., and the accuracy of the data sources. There is more important thing is that we construct a dynamic conflict resolution process by using the incremental classification and similarity detection. Through our dynamic method, we can improve the efficiency on the basis of ensuring the accuracy.