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AssigneeTata Consultancy Services Limited
InventorsTanushyam Chattopadhyay, Abhisek Das, Suvra Dutta, Shubhrangshu Ghosh, Prateep Misra
Estimating the term…
State-of-the-art approaches have concentrated on building solution(s) to match the amplitude of a time series with a user given one. However, these have failed to implement solution(s) which enables searching for pattern(s) that can depict human vision psychology. Embodiments of the present disclosure determine occurrence of pattern of interest in time series data for anomaly detection, wherein time series data is obtained, and first order derivative is computed. Further an angle of change in direction is derived based on a gradient of change in value of the time series data. This angle is further converted to a measurement unit. The time series data is quantized into bins and a weighted finite state transducers diagram (WFSTD) is obtained based on domain knowledge which is then converted to specific pattern. The specific pattern is searched in the bins to determine occurrence/count of the specific pattern for anomaly detection.
A processor implemented method, comprising:
A system, comprising:
A computer program product comprising a non-transitory computer readable medium having a computer readable program embodied therein, wherein the computer readable program, when executed on a computing device causes the computing device to determine occurrence of pattern of interest in time series data by:
Dependencies are inferred from the claim text.