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Decision Support Systems, Volume 150

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Volume 150, November 2021

Interpretable Data Science For Decision Making

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Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke:
Autoencoders for strategic decision support. 113422
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Bart Baesens, Sebastiaan Höppner, Tim Verdonck:
Data engineering for fraud detection. 113492
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Koen W. De Bock, Arno De Caigny:
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling. 113523
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  - journals/dss/GosiewskaKB21
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Alicja Gosiewska, Anna Kozak, Przemyslaw Biecek:
Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering. 113556
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Kazim Topuz, Dursun Delen:
A probabilistic Bayesian inference model to investigate injury severity in automobile crashes. 113557
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You Cao, Zhi-Jie Zhou, Chang-Hua Hu, Shuaiwen Tang, Jie Wang:
A new approximate belief rule base expert system for complex system modelling. 113558
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  - journals/dss/IrarrazavalMPV21
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María Elisa Irarrázaval, Sebastián Maldonado, Juan Pérez, Carla Vairetti:
Telecom traffic pumping analytics via explainable data science. 113559
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Catarina Moreira, Yu-Liang Chou, Mythreyi Velmurugan, Chun Ouyang, Renuka Sindhgatta, Peter Bruza:
LINDA-BN: An interpretable probabilistic approach for demystifying black-box predictive models. 113561
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Johannes De Smedt, Ewelina Lacka, Spyro Nita, Hans-Helmut Kohls, Ross Paton:
Session stitching using sequence fingerprinting for web page visits. 113579
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Robin Marco Gubela, Stefan Lessmann:
Uplift modeling with value-driven evaluation metrics. 113648
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Kristof Coussement, Dries F. Benoit:
Interpretable data science for decision making. 113664

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