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Research at St Andrews

Closed frequent itemset mining with arbitrary side constraints

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Related by author

  1. Efficient incremental modelling and solving

    Koçak, G., Akgün, Ö., Dang, N. & Miguel, I., 7 Sep 2020, ModRef 2020 - The 19th workshop on Constraint Modelling and Reformulation. 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Towards portfolios of streamlined constraint models: a case study with the balanced academic curriculum problem

    Spracklen, P., Dang, N., Akgün, Ö. & Miguel, I., 7 Sep 2020, ModRef 2020 - The 19th workshop on Constraint Modelling and Reformulation. 17 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Exploring instance generation for automated planning

    Akgün, Ö., Dang, N., Espasa, J., Miguel, I., Salamon, A. Z. & Stone, C., 7 Sep 2020, ModRef 2020 - The 19th workshop on Constraint Modelling and Reformulation. 17 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Exploiting incomparability in solution dominance: improving general purpose constraint-based mining

    Kocak, G., Akgun, O., Guns, T. & Miguel, I. J., 29 Aug 2020, ECAI 2020: 24th European Conference on Artificial Intelligence. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarín, A. & Lang, J. (eds.). Amsterdam: IOS Press, p. 331-338 8 p. (Frontiers in artificial intelligence and applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Discriminating instance generation from abstract specifications: a case study with CP and MIP

    Akgün, Ö., Dang, N., Miguel, I., Salamon, A. Z., Spracklen, P. & Stone, C., 2020, Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 17th International Conference, CPAIOR 2020, Vienna, Austria, September 21–24, 2020, Proceedings. Hebrard, E. & Musliu, N. (eds.). Cham: Springer, p. 41-51 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12296 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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