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Online Web mining transactions association rules using frame metadata model

机译:使用框架元数据模型的在线Web挖掘交易关联规则

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Introduces a frame metadata model to facilitate the continuous association rules of Web transactions. A new set of association rules can be derived with the updating of the Web log file by the Web transactions in the frame metadata model. This model consists of two types of classes: static classes and active classes. The static classes describe the Web transactions of the association rule table. The active classes are event-driven, obtaining Web transactions when invoked by a certain event. Whenever an update occurs in the existing Web transactions in the Web log file, a corresponding update is invoked by an event attribute in the method class which computes the association rules continuously. The result is active Web mining that is capable of deriving association rules of Web transactions continuously or incrementally using the frame metadata model.
机译:引入了框架元数据模型,以促进Web事务的连续关联规则。可以通过框架元数据模型中的Web事务更新Web日志文件来导出一组新的关联规则。该模型包括两种类型的类:静态类和活动类。静态类描述关联规则表的Web事务。活动类是事件驱动的,当由某个事件调用时,将获得Web事务。每当Web日志文件中现有Web事务中发生更新时,方法类中的事件属性就会调用相应的更新,该属性连续计算关联规则。结果是主动Web挖掘,该挖掘能够使用框架元数据模型连续或增量地导出Web事务的关联规则。

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