Time Series Prediction Using Similar Data and Relevant Text
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Solution Overview
Problem
Existing methods for predicting time series data rely solely on current time series data, resulting in insufficient accuracy.
Innovation Solution
The method involves obtaining time-related data of a target index, performing similarity retrieval to find similar data in a dataset, and using a pre-trained time series prediction model to enhance prediction accuracy by incorporating similar data and relevant text.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only current time series data is used for prediction, then the prediction process is simple, but the prediction accuracy is insufficient
Solution Approach 1:
The patent performs similarity retrieval to find historical data patterns before the actual prediction process. By pre-identifying similar historical time series data and extracting their characteristics, the system prepares relevant reference information in advance, which is then used to enhance the accuracy of the current prediction without adding complex real-time processing requirements.
Solution Approach 2:
The patent introduces similar historical time series data as an intermediary element between the current data and the prediction model. This intermediary provides additional contextual information and patterns that bridge the gap between limited current data and accurate predictions, allowing the model to leverage historical similarities to improve forecasting accuracy.
2Measurement precision
If similar data retrieval is performed to improve prediction accuracy, then the prediction accuracy improves, but the computation time increases
Solution Approach 1:
The system performs similarity retrieval and identifies comparable historical data patterns before the actual prediction execution. By preparing the similar data set and extracting relevant features in advance, the system reduces the computational burden during the actual prediction phase, balancing accuracy improvement with time efficiency.
Data Source
AI summary
A method for predicting time series data includes: obtaining time-related data of a target index, in which the time-related data comprises current time series data of the target index; obtaining similar data of the current time series data by performing similarity retrieval in a data set according to the current time series data; and obtaining time series prediction data of the target index by performing time series data prediction based on the time-related data and the similar data.