【摘要】 传统相关性挖掘是在整个事务数据库的时间范围内进行的,但有时用户需得到某一特定时间段(如商品促销活动)内商品的相关性.该文对这类问题进行了详细的讨论,提出了一种基于统计方法的正负时态相关性挖掘算法.在详细讨论了该算法模型的基础上,给出了具体的算法设计,并通过实例检验该算法的有效性和可行性.更多还原

【Abstract】 The correlations are discovered traditionally in the interval of the whole transaction database. The users, However, sometimes are interested in the correlations among commodities in a special interval (the sales promotion period for example) . In this paper we discuss this problem in detail and put forward a method of mining positive and negative temporal correlation based on statistics. With the model of the algorithm discussed at first, the particular design of the algorithm is presented, and an example is also given to demonstrate the algorithms validity and feasibility.更多还原