A basket analysis model based on autonomic computing was proposed to establish optimized database structure in this paper. It based on bussiness process and treated autonomic computing algorithm as a research core. It was verified by a simulation experiment, combining basket analysis decision to complete autonomic computing and its applied research on the market basket analysis and optimized the basket analysis method. In commercial systems , data arrived to basket by DB interface, and then cleaned up these data and make decision by the mining algorithm. And then autonomic computing unit was used to determine whether the data was required. If it met the conditions, it could reach bussiness users through the I/O interface; If not, it should return to basket to continue cleaning data until it satisfied the condition.%提出了一种基于自律计算的购物篮分析模型,以商业流程为基础,建立优化的数据库结构,把自律计算算法作为研究核心,以仿真实验验证,结合购物篮分析决策模型完成自律计算及其在购物篮分析中的应用研究,对其中的购物篮分析方法进行了优化.在商业系统中,数据通过DB接口到达至购物篮中,然后对这些数据进行清理并通过挖掘算法对之进行决策,随之通过自律计算单元来判断该数据是否符合要求,若符合,则通过I/O接口到达商业用户；若不符合则返回购物篮继续进行数据清理,直到数据符合条件为止.
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