Mining Double Association Rules on Temporal Dataset

This article mainly researches mining questions of association rules in temporal data. A fundamental structure for double association rules mining is proposed, based on temporal dataset, to define the main notion used in temporal knowledge discovery in a formal way. The relevant properties of the notion are proved. A data structure, hash table based on the double linked list will be used for the storage of the temporal data. According to the notions of the time-model, a double association rules mining is developed. We also have proposed that a kind of algorithm, and analyses about the result of the algorithm.