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A Unified Framework for Frequent Sequence Mining with Subsequence Constraints

Title data

Beedkar, Kaustubh ; Gemulla, Rainer ; Martens, Wim:
A Unified Framework for Frequent Sequence Mining with Subsequence Constraints.
In: ACM Transactions on Database Systems. Vol. 44 (2019) Issue 3 . - 11.
ISSN 0362-5915
DOI: https://doi.org/10.1145/3321486

Project information

Project financing: Deutsche Forschungsgemeinschaft

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science VII > Professor Applied Computer Science VII - Univ.-Prof. Dr. Wim Martens
Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science VII
Research Institutions
Research Institutions > Central research institutes
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 23 Oct 2019 06:49
Last Modified: 19 Oct 2023 12:47
URI: https://eref.uni-bayreuth.de/id/eprint/52814