A Parallel Algorithm to Mine Abnormal Patterns from Satellite Data

摘要：

　　Mining abnormal patterns is important in many areas.With the prevalence of big data,in order to ensure efficiency,an algorithm named PPSpan(JOMP-based parallel PrefixSpan)is proposed under the research of traditional serial sequential pattern mining methods.Firstly,redundant parameters are eliminated with grey correlation analysis.Secondly,outlier information is extracted according to the corresponding parameter threshold and each parameter is discretized with information entropy.Finally,PPSpan algorithm is employed to mine patterns.The algorithm can effectively mined the abnormal patterns from big dataset.Moreover,we verify the feasibility and effectiveness of the proposed method through an experimental analysis of a certain satellite data.

关键词： big data grey correlation analysis information entropy abnormal patterns

作者: Yuhang Xu Dechang Pi

作者单位: College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing,China

会议类型: 国际会议

会议名称: 2014 2nd International Conference on Advanced Cloud and Big Data (CBD 2014)(2014年先进云计算和大数据国际会议)

会议地点: 安徽黄山

会议语种:英文

页码: 53-59

在线出版日期: 2014-11-20（万方平台首次上网日期，不代表论文的发表时间）