Discovering frequent arrangements of temporal intervals

  title={Discovering frequent arrangements of temporal intervals},
  author={Panagiotis Papapetrou and George Kollios and Stan Sclaroff and Dimitrios Gunopulos},
  journal={Fifth IEEE International Conference on Data Mining (ICDM'05)},
  pages={8 pp.-}
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of events, where an event occurs during a time-interval. The goal is to mine arrangements of event intervals that appear frequently in the database. There are many applications where these type of patterns can be useful, including data network, scientific, and financial applications. Efficient methods to find frequent… CONTINUE READING
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Sequential p attern mining using a bitmap representation

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