Football team data association method and data verification method

Abstract

The invention discloses a football team data association method and a data verification method. The association method comprises the following steps: preprocessing a to-be-matched data source, takinga first data source as a reference, selecting a team as a team to be associated, then, according to the competition starting time of any competition of the team to be associated, querying competitiondata in a second database, forming a set by unique team identifiers of the two battle parties meeting the query requirements, selecting another game, forming another set according to the same method,carrying out intersection operation on the two sets, continuously repeating the steps to enable only one element or null set in the intersection operation result, finally associating the teams to be associated or marking the teams to be associated as special teams according to the intersection operation result, and ending the association. By adopting the technical scheme, the automatic associationefficiency can be improved, and the labor cost of human intervention is reduced.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a football team data association method and a data verification method. Background technique [0002] In the field of football sports data, before collecting multiple game data for proofreading or data observation, it is necessary to associate all teams in all data sources in advance, and the same team will not play more than two games within 24 hours the match of. Therefore, even if the data sources are different, the subsequent automatic association of other data (such as game data) can only be completed by associating the teams in each data source with each other. [0003] However, in the prior art, the automatic association method for the teams is aimed at the future game schedule, and the automatic matching is carried out by using the matching of the team name strings of the data sources of both parties. However, this automatic matching method requires complete text matc...

AI Technical Summary

Problems solved by technology

However, this automatic matching method requires complete text matching to be able to associate successfully. It cannot be associated with data in different languages. Even in the same language, different words or translations will cause the association to fail. It requires manual intervention, manual association, and automatic association. very low

If there are multiple databases to be associated, the association process is cumbersome and wastes manpower, the time span is long and it is difficult to verify later

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