Topic of the competition: Active monitoring and prevention of methane outbreaks.
IJCRS'15 Data Challenge: Mining Data from Coal Mines is a competition organized within a frame of The 2015 International Joint Conference on Rough Sets (IJCRS'15). It continues the tradition of data mining challenges associated with rough set conferences. This time, the task is related to the problem of monitoring and prediction of dangerous concentrations of methane in longwalls of a Polish coal mine. The competition is sponsored by Research and Development Centre EMAG (http://www.emag.pl/) with support from International Rough Set Society.
PAKDD'15 Data Mining Competition: Gender Prediction Based on E-commerce Data is our first competition organized within the frame of The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). We would like to challenge participants with a task of devising effective algorithms for recognizing a gender of e-store clients. A data set for the competition was provided by FPT Group which is also the main sponsor of the awards.
Topic of the competition: Recognition of activities carried out by first responders at a fire scene based on body sensor network readings
AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene is a continuation of the last year's competition organized within the framework of International Symposium on Advances in Artificial Intelligence and Applications (AAIA'15, https://fedcsis.org/aaia). It is also an integral part of the 2nd Complex Events and Information Modelling workshop (CEIM'15 https://fedcsis.org/ceim) devoted to the fire protection engeneering. This time, the task is related to the problem of recognizing activities carried out by firefighters based on streams of information from body sensor networks. Prizes worth over 4,000 PLN will be awarded to the most successful teams. The contest is sponsored by Polish Information Processing Society (http://www.pti.org.pl/), with a support from University of Warsaw (http://www.mimuw.edu.pl/) and ICRA project (http://icra-project.org/).
Topic of the competition: Identification of factors influencing the risk of serious injuries in actions carried out by the Polish State Fire Service
AAIA'14 Data Mining Competition: Key risk factors for Polish State Fire Service is organized within the framework of the 9th International Symposium on Advances in Artificial Intelligence and Applications (AAIA'14, https://fedcsis.org/aaia), and is an integral part of the 1st Complex Events and Information Modelling workshop (CEIM'14 https://fedcsis.org/ceim) devoted to the fire protection engeneering. The task is related to the problem of extracting useful knowledge from incident reports obtained from The State Fire Service of Poland. Prizes worth over 3,000 USD will be awarded to the most successful teams. The contest is sponsored by Dituel Sp. z o.o. (http://www.dituel.com.pl/) and F&K Consulting Engineers (http://www.fkce.pl/), with a support from The University of Warsaw (http://www.mimuw.edu.pl/) and ICRA project (http://icra-project.org/).