A Qualitative Study of Similarity Measures in Event-Based Data
2011 (English)In: Human Interface and the Management of Information. Interacting with Information: Symposium on Human Interface 2011, Held as Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I / [ed] Michael J. Smith and Gavriel Salvendy, Springer, 2011, 170-179 p.Chapter in book (Refereed)
This paper presents an interview-based study of the definition of sequence similarity in different application areas of event-based data. The applicability of nine identified measures across these areas is investigated and discussed. The work helps highlight what are the core characteristics sought when analysing event-based data and performs a first validation of this across disciplines. The results of the study make a solid basis for follow-up evaluations of the practical applicability and usability of the similarity measures.
Place, publisher, year, edition, pages
Springer, 2011. 170-179 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 6771
Computer science, Software engineering, Computer system performance, Database management, Data mining, Information Systems, Management of Computing and Information Systems, Special Purpose and Application-Based Systems, e-Commerce/e-business, Data Mining and Knowledge Discovery, System Performance and Evaluation
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-78868DOI: 10.1007/978-3-642-21793-7_21ISBN: 978-3-642-21792-0ISBN: e-978-3-642-21793-7OAI: oai:DiVA.org:liu-78868DiVA: diva2:536292