How to apply Markov chains for modeling sequential edit patterns in collaborative ontology-engineering projects-Reference-Cited by-同舟云学术

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How to apply Markov chains for modeling sequential edit patterns in collaborative ontology-engineering projects

Published:2015-12 Issue: Volume:84 Page:51-66
ISSN:1071-5819
Container-title:International Journal of Human-Computer Studies
language:en
Short-container-title:International Journal of Human-Computer Studies

Author:

Walk Simon,Singer Philipp,Strohmaier Markus,Helic Denis,Noy Natalya F.,Musen Mark A.

Funder

Marshall Plan Scholarship

DFG

Publisher

Elsevier BV

Subject

Hardware and Architecture,Human-Computer Interaction,General Engineering,Education,Human Factors and Ergonomics,Software

Reference73 articles.

1. Agrawal, R., Srikant, R., 1995. Mining sequential patterns. In: Proceedings of the Eleventh International Conference on Data Engineering, ICDE ׳95, IEEE Computer Society, Washington, DC, USA, 1995, pp. 3–14. 〈http://dl.acm.org/citation.cfm?id=645480.655281〉.

2. Auer, S., Dietzold, S., Riechert, T., 2006. OntoWiki–a tool for social, semantic collaboration. In: Proceedings of the 5th International Semantic Web Conference (ISWC 2006), Lecture Notes in Computer Science, vol. 4273. Springer, Athens, GA, 2006.

3. Bettini, C., Wang, X.S., Jajodia, S., 1996. Testing complex temporal relationships involving multiple granularities and its application to data mining (extended abstract). In: Proceedings of the Fifteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, PODS ׳96. ACM, New York, NY, USA, 1996, pp. 68–78. 〈http://doi.acm.org/10.1145/237661.237680〉.

4. Borges, J., Levene, M., 2000. Data mining of user navigation patterns. In: Revised Papers from the International Workshop on Web Usage Analysis and User Profiling, WEBKDD ׳99. Springer-Verlag, London, UK, 2000, pp. 92–111. 〈http://dl.acm.org/citation.cfm?id=648036.744399〉.

5. Evaluating variable-length Markov chain models for analysis of user web navigation sessions;Borges;IEEE Trans. Knowl. Data Eng.,2007

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