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A novel model of bursts in event sequences
Abstract When we focus on events analysis, such as When we focus on events analysis, such as studying the event burstiness and monitoring the event trends, we have to face a great number of similar events that had happened in the history, i.e. event sequences, usually spanning more than 10 years. Burst detection is a popular technique of sequence analysis. Today there are several burst models and detection algorithms based on different burst definitions, producing very different results. However, almost all of these definitions are difficult to clearly define the beginning and end, as well as intensity of the burst. In this paper, we reconsider the burst definition and propose an efficient detection approach for event sequences, which can be further utilized to other temporal sequences or data streams. As a sample application, we present the burst model for event sequences since the end of WWII (1946∼2010) collected from the event lists in Wikipedia. Finally, we show the results comparison of our model and three popular ones in terms of rationality, and two case studies.erms of rationality, and two case studies.
Abstractsub When we focus on events analysis, such as When we focus on events analysis, such as studying the event burstiness and monitoring the event trends, we have to face a great number of similar events that had happened in the history, i.e. event sequences, usually spanning more than 10 years. Burst detection is a popular technique of sequence analysis. Today there are several burst models and detection algorithms based on different burst definitions, producing very different results. However, almost all of these definitions are difficult to clearly define the beginning and end, as well as intensity of the burst. In this paper, we reconsider the burst definition and propose an efficient detection approach for event sequences, which can be further utilized to other temporal sequences or data streams. As a sample application, we present the burst model for event sequences since the end of WWII (1946∼2010) collected from the event lists in Wikipedia. Finally, we show the results comparison of our model and three popular ones in terms of rationality, and two case studies.erms of rationality, and two case studies.
Bibtextype inproceedings  +
Doi 10.1109/CECNet.2012.6201907  +
Has author Sun J. + , Yin J. + , Wang T. + , Yanyan Li +
Has extra keyword Burst detection + , Burst models + , Burstiness + , Bursty interval + , Data stream + , Detection algorithm + , Efficient detection + , Event sequence + , Sequence analysis + , Temporal sequences + , Wikipedia + , Consumer electronics + , Websites + , Graphical user interfaces +
Has keyword Burst detection + , Bursty interval + , Event sequence + , Wikipedia +
Isbn 9781457714153  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 816–821  +
Published in 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings +
Title A novel model of bursts in event sequences +
Type conference paper  +
Year 2012 +
Creation dateThis property is a special property in this wiki. 6 November 2014 19:57:58  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 19:57:58  +
DateThis property is a special property in this wiki. 2012  +
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