Prediction of Methane Outbreak in Coal Mines from Historical Sensor Data under Distribution Drift-Reference-Cited by-同舟云学术

Prediction of Methane Outbreak in Coal Mines from Historical Sensor Data under Distribution Drift

Published:2015 Issue: Volume: Page:439-451
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Boullé Marc

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-25783-9_39

Reference21 articles.

1. Blockeel, H., De Raedt, L., Ramon, J.: Top-Down Induction of Clustering Trees. In: Proceedings of the Fifteenth International Conference on Machine Learning, pp. 55–63. Morgan Kaufmann (1998)

2. Bondu, A., Boullé, M.: A supervised approach for change detection in data streams. In: Proceedings of International Joint Conference on Neural Networks, pp. 519–526 (2011)

3. Boullé, M.: MODL: a Bayes optimal discretization method for continuous attributes. Mach. Learn. 65(1), 131–165 (2006)

4. Boullé, M.: Compression-based averaging of selective naive Bayes classifiers. J. Mach. Learn. Res. 8, 1659–1685 (2007)

5. Lecture Notes in Computer Science;M Boullé,2014

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Selected Aspects of Interactive Feature Extraction;Lecture Notes in Computer Science;2022

2. Comparative Study of Data Mining Techniques for Predicting Explosions in Coal Mines;2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2020-01

3. A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines;Information Sciences;2018-07

4. Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines;Annals of Computer Science and Information Systems;2016-10-02

5. Predicting Dangerous Seismic Events in Coal Mines under Distribution Drift;Annals of Computer Science and Information Systems;2016-10-02