利用反馈的时序模式挖掘算法研究

针对时序数据相似性挖掘方法进行研究，提出一种利用反馈的时序数据相似性挖掘算法，由用户赋予各初始范围查询得到的相似序列相应的权值，通过反馈与给定序列叠加产生新的查询序列，再次进行范围查询，获得相似序列，将该算法用于某钢铁企业的电力负荷时序数据，计算结果表明了算法的有效性。

Research on similarity mining in time series data sets

A new algorithm based on feedback is proposed for the time series data similarity mining. The algorithm lets the users set weights for the time sequences obtained through the original range query.Similaritytimesequencesaregot by using range query based on the time sequence through feedback. The algorithm is applied for similarity mining of the time series data of the electrical loads for a steel plant. The simulation results show the effectiveness of the algorithm.