A streaming data processing method based on on-line multi-dimensional output of correlation
A technology of streaming data and processing methods, which is applied in the field of big data related analysis and machine learning, can solve problems such as consuming a lot of time and space resources, and achieve the effect of improving prediction performance and good use value
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[0035] The present invention will comprehensively use the basic methods and latest research results of related disciplines such as big data related analysis, statistical learning theory, convex optimization theory, probability theory, machine learning and data mining, from the high coupling, massiveness and real-time nature of big data. Starting from other characteristics, using the method of combining theoretical derivation and experimental analysis, a correlation-based online multi-dimensional output support vector regression algorithm is proposed. This method realizes the real-time online prediction that will be applied to the multi-dimensional output system and can further improve Predictive performance of multiple output regression.
[0036] The present invention is based on the online multi-dimensional output support vector regression method, and includes the following implementation processes:
[0037] Define the correlation measure and related learning between the multidime...
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