Universal Knowledge Discovery from Big Data: Towards a Paradigm Shift from 'Knowledge Discovery' to 'Wisdom Discovery'

* " Universal knowledge " also can be named as " pervasive knowledge / information " or " ubiquitous knowledge / information ". Abstract: To overcome the shortcomings of knowledge discovered by traditional data mining methods, I argue that we should follow the paradigm shift from " traditional data mining " to " wisdom mining " in the era of big data, and propose Universal Knowledge Discovery from big data (UKD) as a pathway towards " wisdom " discovery. The new concept focuses on discovering universal knowledge, which exists in the statistical analyses of big data and provides valuable insights into big data. Universal knowledge comes in different forms, e.g., universal patterns, rules, correlations, models and mechanisms. To accelerate big data assisted universal knowledge discovery, a unified research paradigm should be built based on techniques and paradigms from related research domains, especially big data mining and complex systems science. Therefore, I propose an iBEST@SEE methodology. This study lays a solid foundation for the future development of universal knowledge discovery, and offers a pathway to the discovery of " treasure-trove " hidden in big data.