An Incremental Fuzzy Approach to Finding Event Sequences

Trevor P Martin, Ben Azvine

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

Recent years have seen increasing volumes of data generated by online systems, such as internet logs, physical access logs, transaction records, email and phone records. These contain multiple overlapping sequences of events related to different individuals and entities. Information that can be mined from these event sequences is an important re-source in understanding current behaviour, predicting future behaviour and identifying non-standard patterns and possible security breaches. Statistical machine learning approaches have had some success but do not allow human insight to be included easily. We have recently presented a framework for representing sequences of related events, with scope for assistance from human experts. This paper describes the framework and
presents a new algorithm which (i) allows the addition of new event sequences as they are identified from data or postulated by a human analyst, and (ii) allows subtraction / removal of sequences that are no longer relevant. Examination of the sequences can be used to further refine and modify general patterns of events.
Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems
Subtitle of host publication16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I
EditorsJoao Paulo Carvalho, Marie-Jeanne Lesot, Uzay Kaymak, Susana Vieira, Bernadette Bouchon-Meunier, Ronald R. Yager
PublisherSpringer International Publishing AG
Pages525-536
Number of pages12
ISBN (Print)978-3-319-40595-7, 978-3-319-40596-4
DOIs
Publication statusPublished - 11 Jun 2016
EventIPMU2016 - Eindhoven, Netherlands
Duration: 20 Jun 201624 Jun 2016

Publication series

NameAn Incremental Fuzzy Approach to Finding Event Sequences
PublisherSpringer International Publishing
Volume610
ISSN (Print)1865-0929

Conference

ConferenceIPMU2016
CountryNetherlands
CityEindhoven
Period20/06/1624/06/16

Keywords

  • Event Sequences
  • Incremental Algorithm
  • Fuzzy
  • X-mu

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  • Cite this

    Martin, T. P., & Azvine, B. (2016). An Incremental Fuzzy Approach to Finding Event Sequences. In J. P. Carvalho, M-J. Lesot, U. Kaymak, S. Vieira, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I (pp. 525-536). (An Incremental Fuzzy Approach to Finding Event Sequences; Vol. 610). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-40596-4_44