Data mining of myths, legends and folk tales in the context of artificial intelligence

摘要

Data mining of myths, legends and folk tales in the context of artificial intelligence is completely studied in this paper. The core text correlation data structure all is limited, the text correlation data, has the very major difficulty in the computer daily treating processes, therefore, the text correlation content is unable through the data correlation excavation technology to carry on the solution and processing, must first carry on prompt processing to the text. Hence, the paper gives the novel ideas on information mining. We propose that SPARK has its own technical applications in the core process processing, graphics technology, machine learning, NoSQL query and so on by virtue of many years of practical experience in a big data application. We make the proper combinations of different methods to achieve the global optimal. The simulation reflected effectiveness.