Method and system for acquiring optimal combination solution from data set

Abstract

The invention relates to a method for acquiring an optimal combination solution from a data set, which is characterized by comprising the following steps of: 1, acquiring a pre-generated data set with M rows and Q columns, and equally dividing M rows of data in the data set into N groups of data combination solutions, the acquisition method of the data combination solution is to traverse all possible data combination solutions by adopting a genetic algorithm; step 2, performing temporary data table extraction on each data combination solution, and calculating a combination deviation value of the data combination solution based on data items in the temporary data table obtained by extraction; and step 3, traversing combination deviation values of all possible data combination solutions, and selecting an optimal combination mode based on the combination deviation values. The method is simple, accurate in result and suitable for operation processing of mass data acquired by a data acquisition platform.

Description

technical field [0001] The present invention relates to the field of data processing, and more specifically, to a method and system for obtaining an optimal combined solution from a data set. Background technique [0002] At present, with the advancement of science and technology, the way of processing target data using information technology is gradually replacing the manual way of processing data. With the increasing amount of data collected and obtained by various platforms and systems, the data complexity and security index are getting higher and higher, and the scope of data application is becoming wider and wider. In various realistic application scenarios of data processing, the data processing process The requirements for accuracy are also getting higher and higher. [0003] In the prior art, it is often necessary to collect multiple different scenarios from a large number of data scenarios for combination, and obtain a unique optimal solution based on the combinati...

AI Technical Summary

Problems solved by technology

However, due to the inherent problems of some intelligent algorithms, the convergence speed of the data set solution is slow or the algorithm is premature and falls into a local optimal solution.

[0005] In addition, in the existing technology, the data content in the data table to be solved is complex and the data types are various. In practical applications, it is difficult to obtain the optimal solution for all the data in the data table only by using basic algorithm calculations.

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