Method for imputing missed data in sensor data sequence with missing data
AssigneesIndian Institute of Technology Bombay, Tata Consultancy Services Limited
InventorsSoma Bandyopadhyay, Krithivasan Ramamritham
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AssigneesIndian Institute of Technology Bombay, Tata Consultancy Services Limited
InventorsSoma Bandyopadhyay, Krithivasan Ramamritham
Estimating the term…
Embodiments herein provide a method for imputing sensor data, in a sensor data sequence with missing data based on the semantics learning, where semantics is defined by the constraints of the sensor data features. A candidate value for imputation is determined based on sensor data of corresponding instances of time instants of the sensor data sequence using learning based on semantics of features of the sensor data sequence with missing data. The nearest neighbors search has been applied in similar response data sequence using the data values corresponding to the time instant of missing data in sensor data sequence. In case similar response data sequence is not available imputation is performed based on the distribution pattern of missing data.
A method of imputing missing sensor data values in a sensor data sequence, the method comprising:
A computer program product comprising computer executable program code recorded on a computer readable non-transitory storage medium where the computer executable program code when executed causing the actions which include:
Dependencies are inferred from the claim text.