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Mining food industry's multidimensional data to produce association rules using apriori algorithm as a basis of business strategy

机译:使用Apriori算法作为商业策略的基础来挖掘食品行业的多维数据以产生关联规则

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摘要

The food industry sell a range of product variations. The company want to take advantage to build business strategy from huge information which is stored in data warehouse. In this case, data mining technology needs to be implemented to explore valuable information on transactional data to assess customer's preferences for products sold as a business strategy.
机译:食品工业出售各种产品。该公司希望利用从存储在数据仓库中的大量信息中构建业务战略。在这种情况下,需要实施数据挖掘技术来探索交易数据上的有价值的信息,以评估客户对作为业务策略出售的产品的偏好。

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