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2024 | OriginalPaper | Chapter

Visual Patterns in an Interactive App for Analysis Based on Control Charts and SHAP Values

Authors : Iwona Grabska-Gradzińska, Maciej Szelążek, Szymon Bobek, Grzegorz J. Nalepa

Published in: Artificial Intelligence. ECAI 2023 International Workshops

Publisher: Springer Nature Switzerland

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Abstract

The aim of this paper is to describe the tool for combining the information of control charts, widely used for statistical quality control with the information obtained from the process of explanation the classification decision made using the machine learning model. Control charts are used to monitor production and show deviations from normal behavior, especially when upper and lower control limits of measured parameters are defined. Analysis of SHAP explanations allowed us to show some dependencies of classification process. Our application, which allows the user to compare the information taken from both control charts and SHAP plots, helps the user discover anomalies, especially dependencies between exceeding the limits of controlled parameters and the relevance of these values in SHAP calculations.

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Boaventura, L.L., Ferreira, P.H., Fiaccone, R.L.: On flexible statistical process control with artificial intelligence: classification control charts. Expert Syst. Appl. 194, 116492 (2022)CrossRef

Bobek, S., Kuk, M., Brzegowski, J., Brzychczy, E., Nalepa, G.J.: KnAC: an approach for enhancing cluster analysis with background knowledge and explanations. Appl. Intell. 53(12), 15537–15560 (2022). https://doi.org/10.1007/s10489-022-04310-9

Bobek, S., Kuk, M., Szelçżek, M., Nalepa, G.J.: Enhancing cluster analysis with explainable AI and multidimensional cluster prototypes. IEEE Access 10, 101556–101574 (2022). https://doi.org/10.1109/ACCESS.2022.3208957CrossRef

Chesani, F., Mello, P., Montali, M., Riguzzi, F., Sebastianis, M., Storari, S.: Checking compliance of execution traces to business rules. In: Ardagna, D., Mecella, M., Yang, J. (eds.) BPM 2008. LNBIP, vol. 17, pp. 134–145. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00328-8_13CrossRef

Davari, N., Veloso, B., Ribeiro, R.P., Gama, J.: Fault forecasting using data-driven modeling: a case study for metro do Porto data set. In: Koprinska, I., et al. (eds.) Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, 19–23 September 2022, Proceedings, Part II, pp. 400–409. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-23633-4_26

de Bruijn, H., Warnier, M., Janssen, M.: The perils and pitfalls of explainable AI: strategies for explaining algorithmic decision-making. Gov. Inf. Q. 39(2), 101666 (2022)

Dunzer, S., Stierle, M., Matzner, M., Baier, S.: Conformance checking: a state-of-the-art literature review, pp. 1–10 (2019). https://doi.org/10.1145/3329007.3329014

Eckes, G.: The Six Sigma Revolution: How General Electric and Others Turned Process Into Profits. Wiley (2002)

Gosiewska, A., Biecek, P.: Do not trust additive explanations (2020)

10.

Guidotti, R., Monreale, A., Ruggieri, S., Pedreschi, D., Turini, F., Giannotti, F.: Local rule-based explanations of black box decision systems (2018)

11.

Kadir, T., Brady, M.: Saliency, scale and image description. Int. J. Comput. Vis. 45, 83–105 (2001). https://doi.org/10.1023/A:1012460413855

12.

Khader, N., Yoon, S.W.: Online control of stencil printing parameters using reinforcement learning approach. Procedia Manuf. 17, 94–101 (2018). 28th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2018), 11–14 June 2018, Columbus, OH, USAGlobal Integration of Intelligent Manufacturing and Smart Industry for Good of Humanity

13.

Kumar, E., Venkatasubramanian, S., Scheidegger, C., Friedler, S.A.: Problems with Shapley-value-based explanations as feature importance measures (2020)

14.

de Leoni, M., Munoz-Gama, J., Carmona, J., van der Aalst, W.M.P.: Decomposing alignment-based conformance checking of data-aware process models. In: Meersman, R., et al. (eds.) OTM 2014. LNCS, vol. 8841, pp. 3–20. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45563-0_1CrossRef

15.

Lundberg, S.M., Lee, S.: A unified approach to interpreting model predictions. CoRR abs/1705.07874 (2017). http://arxiv.org/1705.07874

16.

Lundberg, S.M., Lee, S.I.: A unified approach to interpreting model predictions. In: Guyon, I., et al. (eds.) Advances in Neural Information Processing Systems, vol. 30. Curran Associates, Inc. (2017)

17.

Maeyens, J., Vorstermans, A., Verbeke, M.: Process mining on machine event logs for profiling abnormal behaviour and root cause analysis. Ann. Telecommun. 75, 1–10 (2020). https://doi.org/10.1007/s12243-020-00809-9

18.

Matzka, S.: Explainable artificial intelligence for predictive maintenance applications. In: 2020 Third International Conference on Artificial Intelligence for Industries (AI4I), pp. 69–74. IEEE (2020)

19.

Pashami, S., et al.: Explainable predictive maintenance (2023)

20.

Pereira, M., Bento, M.I., Ferreira, L., Sá, J., Silva, F., Baptista, A.: Using six sigma to analyse customer satisfaction at the product design and development stage. Procedia Manuf. 38, 1608–1614 (2019). 29th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2019)

21.

Ribeiro, M., Singh, S., Guestrin, C.: Anchors: high-precision model-agnostic explanations. Proc. AAAI Conf. Artif. Intell. 32 (2018). https://doi.org/10.1609/aaai.v32i1.11491

22.

Szelçżek, M., Bobek, S., Nalepa, G.J.: Semantic data mining-based decision support for quality assessment in steel industry. Expert Syst., e13319 (2023). https://doi.org/10.1111/exsy.13319. https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.13319

23.

Vilone, G., Longo, L.: A quantitative evaluation of global, rule-based explanations of post-hoc, model agnostic methods. Frontiers Artif. Intell. 4 (2021)

Title: Visual Patterns in an Interactive App for Analysis Based on Control Charts and SHAP Values
Authors: Iwona Grabska-Gradzińska
Maciej Szelążek
Szymon Bobek
Grzegorz J. Nalepa
Publisher: Springer Nature Switzerland
Book: Artificial Intelligence. ECAI 2023 International Workshops
Print ISBN: 978-3-031-50484-6

Electronic ISBN: 978-3-031-50485-3

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-50485-3_4

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