Application of effective negative association rule selected through quadratic correlation judging method to analysis of customer buying behaviors

Abstract

The invention relates to an application of an effective negative association rule selected through a quadratic correlation judging method to the analysis of customer buying behaviors. If a negative sign only occurs outside an item set A or an item set B, only once association rule correlation judgement is carried out; and if the negative sign exists in the item set A or the item set B, once association rule correlation judging judgement and quadratic correlation rule correlation judgement are carried in sequence. According to the application, the deciders are helped to expel the unavailable negative association rule modes in the process of carrying out customer buying behavior analysis, so as to find the available negative association rule modes; and in such way, the sellers can predict the association among the commodities according to the current commodity sales status and find the exclusion relations among the particular commodities so as to reasonably plan the commodity arrangement, improve the commodity offtake and improve the economic benefit of the marketplaces.

Description

technical field [0001] The invention relates to the application of a secondary correlation judgment method to select effective negative association rules in the analysis of customer purchase behavior, and belongs to the application technical field of negative association rules. Background technique [0002] At present, supermarket shopping has become an indispensable part of every family's life, and there are a large number of correlations between commodities in the process of purchasing commodities. Here's an interesting example: a supermarket bundled milk with storage bins. This incomprehensible sales method has led to more sales of milk and storage boxes than the original separate sales. This is a case of a well-known chain store in China. This supermarket has a very large data warehouse storage system. The storage system records detailed records of every transaction of every customer, and records shopping in the form of membership cards. details of. In order to accura...

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Problems solved by technology

[0006] However, in the process of mining negative association patterns with negative items, sometimes it will appear as The two sets of negative association rules with a=>bc meet the mining conditions at the same time, that is, when the first negative association rule is for the customer to purchase product a, he did not purchase b and purchased c; the second type is for the customer to purchase product a In the case of , I bought b and bought c; obviously, these two negative association rules are contradictory, and if they are both used for decision-making, it is easy to mislead the market, so we need a reasonable solution to judge which A negative association rule is suitable for decision

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