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Many people hold a vision that big data will provide big insights and have abig impact in the future, and big-data-assisted scientific discovery is seen asan emerging and promising scientific paradigm. However, how to turn big datainto deep insights with tremendous value still remains obscure. To meet thechallenge, universal knowledge discovery from big data (UKD) is proposed. Thenew concept focuses on discovering universal knowledge, which exists in thestatistical 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 universalknowledge discovery, a unified research paradigm should be built based ontechniques and paradigms from related research domains, especially big datamining and complex systems science. Therefore, I propose an iBEST@SEEmethodology. This study lays a solid foundation for the future development ofuniversal knowledge discovery, and offers a pathway to the discovery of"treasure-trove" hidden in big data.

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