Ryan, Mason & Lewis, LLP
System and method for meta-pattern discovery
Periodic patterns in time series data can be hierarchical in nature, where a higher level pattern may comprise repetitions of lower level patterns. In the presence of noises, these repetitions of lower level patterns may not be perfect. A novel model, namely a meta-pattern, is provided in accordance with the present invention to capture these higher level patterns. The meta-pattern can not only provide a more compact representation of patterns but also capture the regularities of pattern evolutions, which may not be expressed by previous models due to the presence of noise. A method is provided to mine meta-patterns in an iterative manner by discovering meta-patterns and their supporting subsequences in the form of lists of segments of contiguous repetitions of a meta-pattern. The number of pattern repetitions in each said segment is at least a predefined threshold min_rep and the distance between any two adjacent segments is at most a predefined threshold max_dis.
International Business Machines Corporation
G
G06K
inventional
Wei Jiong Philip Shi-Lung
Wang Yang Yu