There are all standard and public Competitions in this category. Any User can Take part in any of the Challenges within.

IEEE BigData 2019 Cup: Suspicious Network Event Recognition

Suspicious Network Event Recognition is a data mining challenge organized in association with IEEE BigData 2019 conference. The task is to decide which alerts should be regarded as suspicious based on information extracted from network traffic logs. The competition is kindly sponsored by Security On-Demand (https://www.securityondemand.com/) and QED Software (http://qed.pl/).

Manager: Andrzej Janusz (andrzej)
268 teams


1 month, 2 weeks ago

Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction

Clash Royale Challenge is the sixth data mining competition organized in association with the Federated Conference on Computer Science and Information Systems (https://fedcsis.org/). This year, the task is related to the problem of selecting an optimal training data subset for learning how to predict win-rates of the most popular Clash Royale decks. The competition is kindly sponsored by eSensei, QED Software and Polish Information Processing Society (PTI).

Manager: Andrzej Janusz (andrzej)
116 teams


5 months, 1 week ago

ESENSEI Challenge: Marking Hair Follicles on Microscopic Images

ESENSEI Challenge is a data mining competition, whereby the task is to design an algorithm for accurate marking of follicle positions on microscopic images.

Manager: Andrzej Janusz (andrzej)
47 teams


1 year, 5 months ago

AAIA'18 Data Mining Challenge: Predicting Win-rates of Hearthstone Decks

AAIA'18 Data Mining Challenge is the fifth competition organized within the framework of International Symposium Advances in Artificial Intelligence and Applications (https://fedcsis.org/2018/aaia). This time, the task is to assess win-rates of Hearthstone decks in games played between AI bots. The competition is kindly sponsored by Silver Bullet Labs, eSensei and Polish Information Processing Society (PTI).

Manager: Andrzej Janusz (andrzej)
216 teams


1 year, 6 months ago

AAIA'17 Data Mining Challenge: Helping AI to Play Hearthstone

AAIA'17 Data Mining Challenge is the fourth data mining competition organized within the framework of International Symposium Advances in Artificial Intelligence and Applications (https://fedcsis.org/2017/aaia). This time, the task is to come up with an efficient prediction model which would help AI to play the game of Hearthstone: Heroes of Warcraft. The competition is kindly sponsored by Silver Bullet Solutions and Polish Information Processing Society (PTI).

Manager: Andrzej Janusz (andrzej)
367 teams


2 years, 6 months ago

ISMIS'17 Data Mining Competition: Trading Based on Recommendations

ISMIS 2017 Data Mining Competition is a challenge organized using the KnowledgePit platform at the 23rd International Symposium on Methodologies and Intelligent Systems, held at Warsaw University of Technology, Poland, on June 26-29, 2017. The task is to come up with a strategy for investing in a stock market based on recommendations provided by different experts. The competition is kindly sponsored by mBank S.A. and Tipranks, with a support from ISMIS 2017 organizers.

Manager: Andrzej Janusz (andrzej)
176 teams


2 years, 9 months ago

AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines

AAIA'16 Data Mining Challenge is the third data mining competition associated with International Symposium on Advances in Artificial Intelligence and Applications (AAIA'16, https://fedcsis.org/2016/aaia) which is a part of FedCSIS conference series. This time, the task is related to the problem of predicting periods of increased seismic activity which may cause life-threatening accidents in underground coal mines. Prizes worth over 3,000 USD will be awarded to the most successful teams. The contest is sponsored by Research and Development Centre EMAG (http://ibemag.pl) with support from Polish Information Processing Society (http://www.pti.org.pl/) and Dituel Sp. z o.o. (http://www.dituel.pl/).

Manager: Andrzej Janusz (andrzej)
248 teams


3 years, 8 months ago

IJCRS'15 Data Challenge: Mining Data from Coal Mines

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.

Manager: Andrzej Janusz (andrzej)
129 teams


4 years, 4 months ago

PAKDD'15 Data Mining Competition: Gender Prediction Based on E-commerce Data

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.

Manager: Andrzej Janusz (andrzej)
412 teams


4 years, 6 months ago

AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene

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/).

Manager: Andrzej Janusz (andrzej)
169 teams


4 years, 5 months ago

AAIA'14 Data Mining Competition: Key risk factors for 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/).

Manager: Andrzej Janusz (andrzej)
127 teams


5 years, 6 months ago

Drugi projekt zaliczeniowy SUS 2015/2016

opis

Manager: Andrzej Janusz (andrzej)
93 teams


3 years, 6 months ago

Drugi projekt zaliczeniowy DM 2016

None

Manager: Andrzej Janusz (andrzej)
32 teams


3 years, 5 months ago

Trzeci projekt zaliczeniowy SUS 2016

None

Manager: Andrzej Janusz (andrzej)
82 teams


3 years, 5 months ago

Trzeci projekt zaliczeniowy DM 2016

None

Manager: Andrzej Janusz (andrzej)
31 teams


3 years, 5 months ago

Projekt zaliczeniowy dla przedmiotów Data Mining oraz SUS

None

Manager: Andrzej Janusz (andrzej)
67 teams


1 year, 2 months ago