Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge
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[1] Dominik Slezak,et al. Key risk factors for Polish State Fire Service: A Data Mining Competition at Knowledge Pit , 2014, 2014 Federated Conference on Computer Science and Information Systems.
[2] Saharon Rosset,et al. Leakage in data mining: formulation, detection, and avoidance , 2011, TKDD.
[3] Marc Boullé. Tagging fireworkers activities from body sensors under distribution drift , 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).
[4] Dominik Slezak,et al. Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold , 2015, ISMIS.
[5] Jan Kanty Milczek,et al. Early warning system for seismic events in Coal Mines using machine learning , 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).
[6] Marek Grzegorowski,et al. Window-Based Feature Engineering for Prediction of Methane Threats in Coal Mines , 2015, RSFDGrC.
[7] Michal Kozielski,et al. DISESOR - decision support system for mining industry , 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).
[8] Andrzej Janusz. Combining multiple predictive models using genetic algorithms , 2012, Intell. Data Anal..
[9] Marek Grzegorowski,et al. Massively parallel feature extraction framework application in predicting dangerous seismic events , 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).
[10] Le Hoang Son. Dealing with the new user cold-start problem in recommender systems: A comparative review , 2016, Inf. Syst..
[11] Albert Bifet,et al. DATA STREAM MINING A Practical Approach , 2009 .
[12] Marek Sikora,et al. Application of rule-based models for seismic hazard prediction in coal mines , 2014 .
[13] Marek Grzegorowski,et al. Mining Data from Coal Mines: IJCRS'15 Data Challenge , 2015, RSFDGrC.