Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge

15Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

This paper summarizes AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines which was held between October 5, 2015 and March 4, 2016 at the Knowledge Pit platform. It describes the scope and background of this competition and explains our research objectives which motivated the specific design of the competition rules. The paper also briefly overviews the results of this challenge, showing the way in which those results can help in solving practical problems related to the safety of miners working underground. In particular, our analysis focuses on applications of prediction models in order to facilitate the assessment of seismic hazards, in a situation when the exploration of a given working site has just started and there is very little historical data available.

Cite

CITATION STYLE

APA

Janusz, A., Slezak, D., Sikora, M., & Wrobel, L. (2016). Predicting Dangerous Seismic Events: AAIA’16 Data Mining Challenge. In Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016 (pp. 205–211). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.15439/2016F560

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free