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Connection Science Volume 35, 2023 - Issue 1
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Research Article

Time anomaly detection in the duration of civil trials in Italian justice

Antonio Espositoa Department of Engineering, University of Campania Luigi Vanvitelli, Aversa, ItalyCorrespondence[email protected]
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,
Beniamino Di Martinoa Department of Engineering, University of Campania Luigi Vanvitelli, Aversa, Italy;b Dept. Of Computer Science and Information Engineering, ASIA University, Taichung, Taiwan;c Department of Computer Science, University of Vienna, Vienna, AustriaView further author information
,
Rosario Ammendoliad Ufficio per la giurisdizione digitale territoriale civile e penale – Area Civile, Italian Ministry of Justice, Rome, ItalyView further author information
,
Pietro Lupie Quarta Sezione Civile, Tribunale di Napoli, Naples, ItalyView further author information
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Massimo Orlandof Direttore Generale delle risorse materiali e delle tecnologie, Italian Ministry of Justice, Rome, ItalyView further author information
&
Wei Liangg School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, People's Republic of China;h Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, People's Republic of ChinaView further author information
Article: 2283394 | Received 02 Oct 2023, Accepted 09 Nov 2023, Published online: 16 Nov 2023

References

  • Alghazzawi, D., Bamasag, O., Albeshri, A., Sana, I., Ullah, H., & Asghar, M. Z. (2022). Efficient prediction of court judgments using an lstm+ cnn neural network model with an optimal feature set. Mathematics, 10(5), 683. https://doi.org/10.3390/math10050683
  • Bhowmick, K., & Narvekar, M. (2018). Trajectory outlier detection for traffic events: A survey. In intelligent computing and information and communication (pp. 37–46). Springer.
  • de Oliveira, R. S., Reis Jr, A. S., & Sperandio Nascimento, E. G. (2022). Predicting the number of days in court cases using artificial intelligence. PloS One, 17(5), e0269008. https://doi.org/10.1371/journal.pone.0269008
  • Djenouri, Y., Zimek, A., & Chiarandini, M. (2018). Outlier detection in urban traffic flow distributions. In 2018 IEEE international conference on data mining (ICDM) (pp. 935–940). IEEE.
  • European Commission for the Efficiency of Justice – CEPEJ (2018). Revised saturn guidelines for judicial time management – (3rd revision). https://rm.coe.int/cepej-2018-20-e-cepej-saturn-guidelines-time-management-3rd-revision/16808ff3ee.
  • Gruginskie, L. A. d. S., & Vaccaro, G. L. R. (2018). Lawsuit lead time prediction: Comparison of data mining techniques based on categorical response variable. PloS One, 13(6), e0198122. https://doi.org/10.1371/journal.pone.0198122
  • Kramer, O. (2016). Scikit-learn. In Machine learning for evolution strategies (pp. 45–53). Springer.
  • Martino, B. D., Cante, L. C., Esposito, A., Lupi, P., & Orlando, M. (2021). Temporal outlier analysis of online civil trial cases based on graph and process mining techniques. International Journal of Big Data Intelligence, 8(1), 31–46. https://doi.org/10.1504/IJBDI.2021.118746
  • Massimo Orlando, G. V. (2020). Il controllo di gestione negli uffici giudiziari: il “laboratorio” livorno. Questione Giustizia Trimestrale promosso da Magistratura democratica – Fascicolo 1. Eguaglianza e diritto civile.
  • Zheng, B., Rizzo, P., & Nasrollahi, A. (2020). Outlier analysis of nonlinear solitary waves for health monitoring applications. Structural Health Monitoring, 19(4), 1160–1174. https://doi.org/10.1177/1475921719876089

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