A Declarative Approach to Contrast Pattern Mining

Author:

Lisi Francesca AlessandraORCID,Sterlicchio GioacchinoORCID

Publisher

Springer International Publishing

Reference18 articles.

1. Brewka, G., Eiter, T., Truszczynski, M.: Answer set programming at a glance. Commun. ACM 54(12), 92–103 (2011). http://doi.acm.org/10.1145/2043174.2043195

2. Costantini, S., De Gasperis, G., Olivieri, R.: How answer set programming can help in digital forensic investigation. In: Ancona, D., Maratea, M., Mascardi, V. (eds.) Proceedings of the 30th Italian Conference on Computational Logic, Genova, Italy, 1–3 July 2015. CEUR Workshop Proceedings, vol. 1459, pp. 53–65. CEUR-WS.org (2015). http://ceur-ws.org/Vol-1459/paper29.pdf

3. Costantini, S., De Gasperis, G., Olivieri, R.: Digital forensics and investigations meet artificial intelligence. Ann. Math. Artif. Intell. 86(1-3), 193–229 (2019). https://doi.org/10.1007/s10472-019-09632-y

4. Costantini, S., Lisi, F.A., Olivieri, R.: DigForASP: a european cooperation network for logic-based AI in digital forensics. In: Casagrande, A., Omodeo, E.G. (eds.) Proceedings of the 34th Italian Conference on Computational Logic, Trieste, Italy, 19–21 June 2019. CEUR Workshop Proceedings, vol. 2396, pp. 138–146. CEUR-WS.org (2019). http://ceur-ws.org/Vol-2396/paper34.pdf

5. De Raedt, L., Guns, T., Nijssen, S.: Constraint programming for data mining and machine learning. In: Twenty-Fourth AAAI Conference on Artificial Intelligence (2010)

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1. Mining Contrast Sequential Patterns with ASP;AIxIA 2023 – Advances in Artificial Intelligence;2023

2. A Case Study for Declarative Pattern Mining in Digital Forensics;Rules and Reasoning;2023

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