In several application domains, such as sign language, medicine, and sensor networks,
events are not necessarily instantaneous but they can have a time duration. Sequences of
interval-based events may contain useful domain knowledge; thus, searching, indexing, and
mining such sequences is crucial. We introduce two distance measures for comparing
sequences of interval-based events which can be used for several data mining tasks such
as classification and clustering. The first measure maps each sequence of interval-based …

… Sequences of instantaneous events do not depict all the important information: …
Conclusion: The results depend on how the class label is encoded into the sequences. … A
We presented 2 methods for comparing event-intervals sequences. …