时态数据采掘中的时态型与时间粒度研究

Study of Temporal Type and Time Granularity in the Temporal Data Mining

研究了时态型与时间粒度的有关理论 ,提出了时态型、时间粒度、粗时间粒度、基时态型、基时间粒度和基准时间等概念 ,并研究了它们在刻画绝对时间的关系 ,最后给出一个一类简单频繁事件模式发现的例子 ,对于研究时态数据采掘具有重要意义 .

The temporal data mining (TDM) is one of new fields of study of data mining with the important applications in the knowledge discovery and data mining.Both of the temporal type and the time granularity are two necessary elements to describe the temporal data mining. This paper discusses some problems of temporal type and time granularity. We present conceptions of temporal type,time granularity, rough time granularity, basis temporal type, basis time granularity and basis time. We study their relationships with describing absolute time and obtain some important results. Finally,we give an example of discovering simple frequent event patterns,which is significant in study of the temporal data mining.