On Detecting Feasible Periodicity for Periodic Event in Binary Data Series

摘要：

In this paper, we investigated the problem of discovering periodicity of a certain event in a binary data series and a new method basing on cross entropy is proposed. First, a series of rational partition methods for binary data series are introduced, which can divide the data series into different segments (partition). Then, we use cross entropy to calculate the partition periodicity, which could be the good measurements for the feasible of event periodicity. Finally, a periodicity evaluation method is proposed to obtain the feasible periodicity of the given event The results of calculation example show that the method can be used to explore feasible event periodicity in binary data series.

关键词： data mining data series cross entropy periodicity

作者: YangRui Yuan Hua Qian Yu Hou Lun

作者单位: School of Management and Economics, University of Electronic Science and Technology of China, China

会议类型: 国际会议

会议名称: The Eleventh Wuhan International Conference on E-Business(第十一届武汉电子商务国际会议)

会议地点: 武汉

会议语种:英文

页码: 364-371

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）