Method of processing and analysing vehicle driving big data and system thereof
First Claim
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1. A method of processing vehicle driving data by a big data processing apparatus, the method comprising:
- detecting a first outlier in each field of sensing data included in the vehicle driving data, the first outlier representing field values out of a predetermined range;
generating first refined data by correcting or removing the first outlier from the sensing data;
detecting a second outlier in the first refined data, the second outlier representing field values having a deviation greater than a predetermined threshold between consecutive field values of a same field or between different fields correlated to each other; and
generating second refined data by removing the second outlier from the first refined data;
generating statistical data based on the second refined data; and
performing mining analysis based on at least one of the second refined data and the statistical data.
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Abstract
Provided is a method of processing and analyzing vehicle driving big data, the method including: refining vehicle driving data of raw data; acquiring statistical data based on the refined vehicle driving data; and performing mining analysis based on at least one of the refined vehicle driving data and the acquired statistical data.
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Citations
18 Claims
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1. A method of processing vehicle driving data by a big data processing apparatus, the method comprising:
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detecting a first outlier in each field of sensing data included in the vehicle driving data, the first outlier representing field values out of a predetermined range; generating first refined data by correcting or removing the first outlier from the sensing data; detecting a second outlier in the first refined data, the second outlier representing field values having a deviation greater than a predetermined threshold between consecutive field values of a same field or between different fields correlated to each other; and generating second refined data by removing the second outlier from the first refined data; generating statistical data based on the second refined data; and performing mining analysis based on at least one of the second refined data and the statistical data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A system for processing vehicle driving data, the system comprising:
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a storing unit configured to store the vehicle driving data; and a processing unit configured to; detect a first outlier in each field of sensing data included in the vehicle driving data, the first outlier representing field values out of a predetermined range; generate first refined data by correcting or removing the first outlier from the sensing data; detect a second outlier in the first refined data, the second outlier representing field values having a deviation greater than a predetermined threshold between consecutive field values of a same field or between different fields correlated to each other; and generate second refined data by removing the second outlier from the first refined data; generate statistical data based on the second refined data, and perform mining analysis based on at least one of the second refined data and the statistical data.
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Specification