Evolving type-2 web news mining

摘要

Web news articles are generated in continuous, time-varying, and rapid modes. This environment causes an explosion of information which needs to be stored, processed and analyzed. Conventional machine learning algorithms that are applied in the web news mining work in an offline environment cannot efficiently handle data streams.