Journal of University of Science and Technology of China ›› 2019, Vol. 49 ›› Issue (7): 524-532.DOI: 10.3969/j.issn.0253-2778.2019.07.002

Previous Articles     Next Articles

A novel method for mining latent events based on scalable patterns

QIU Zhen   

  1. 1. State Grid Information and Telecommunication Group Co.,Ltd, Beijing 102211, China; 2. State Grid (Beijing) Energy Conservation Design and Research Institute Co.,Ltd., Beijing 100052, China
  • Received:2018-09-26 Revised:2018-12-04 Online:2019-07-31 Published:2019-07-31

Abstract: Big data reflect the people's living habits, social and natural laws. Data stream, one of the most important forms of manifestation, has a wide range of applications. In the field of practical application of data stream, the waveband consisted of continuous data point can show the abundant semantics. Therefore, it’s significant to take the pattern (waveband) as the granularity and expressive form of data stream.

Key words: big data, scalable pattern, vectorization, latent semantics, classification