Interpretable Model Drift Detection

Author:

Panda Pranoy1ORCID,Kancheti Sai Srinivas1ORCID,Balasubramanian Vineeth N.1ORCID,Sinha Gaurav2ORCID

Affiliation:

1. Indian Institute of Technology, Hyderabad, India

2. Microsoft Research, India

Funder

Department of Science and Technology, India

Adobe Research

Prime Minister's Research Fellowship

Publisher

ACM

Reference50 articles.

1. Supriya Agrahari and Anil Kumar Singh . 2021. Concept Drift Detection in Data Stream Mining: A literature review . Journal of King Saud University-Computer and Information Sciences ( 2021 ). Supriya Agrahari and Anil Kumar Singh. 2021. Concept Drift Detection in Data Stream Mining: A literature review. Journal of King Saud University-Computer and Information Sciences (2021).

2. Rakesh Agrawal , Tomasz Imielinski , and Arun Swami . 1993. Database mining: A performance perspective . IEEE transactions on knowledge and data engineering 5, 6 ( 1993 ), 914–925. Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. 1993. Database mining: A performance perspective. IEEE transactions on knowledge and data engineering 5, 6 (1993), 914–925.

3. Marco Ancona , Cengiz Oztireli , and Markus Gross . 2019 . Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation . In Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol. 97) , Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 272–281. https://proceedings.mlr.press/v97/ancona19a.html Marco Ancona, Cengiz Oztireli, and Markus Gross. 2019. Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation. In Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol. 97), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 272–281. https://proceedings.mlr.press/v97/ancona19a.html

4. Manuel Baena-Garcıa , José del Campo-Ávila , Raúl Fidalgo , Albert Bifet , R Gavalda , and Rafael Morales-Bueno . 2006 . Early drift detection method . In Fourth international workshop on knowledge discovery from data streams, Vol. 6. 77–86 . Manuel Baena-Garcıa, José del Campo-Ávila, Raúl Fidalgo, Albert Bifet, R Gavalda, and Rafael Morales-Bueno. 2006. Early drift detection method. In Fourth international workshop on knowledge discovery from data streams, Vol. 6. 77–86.

5. Learning from Time-Changing Data with Adaptive Windowing

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