On the generation of useful linguistic summaries of sequences

Anna Wilbik, Remco M. Dijkman

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
2 Downloads (Pure)


Linguistic summarization techniques make it easy to gain insight into large amounts of data by describing the main properties of the data linguistically. In this paper we focus on a specific type of data, namely process data, i.e., event logs that contain information about when some activities were performed for a particular customer case. An event log may contain many different sequences, because actions or events are often performed in slightly different orders for different customer cases. This easily leads to a very large number of generated summaries. As the point of linguistic summarization is to provide a quick overview, such a large number of summaries is not helpful to the interpreter. To address this problem, we propose a method for the generation of linguistic summaries of sequences that groups similar sequences and returns them in a single linguistic summary. We show the applicability of our technique on an event log from practice and show that it can be used to reduce the number of produced summaries by 80%, while keeping the important information that is contained in those summaries.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 24-29 July 2016, Vancouver, Canada
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)978-1-5090-0626-7
ISBN (Print)978-1-5090-0625-0
Publication statusPublished - 2016
Event2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016) - Vancouver, Canada
Duration: 24 Jul 201629 Jul 2016


Conference2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016)
Abbreviated titleFIUZZ-IEEE 2016


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