DATA MINING CUP 2018

193 Teams from 148 universities in 47 countries

Scenario

Dynamic pricing strategies are increasingly common, particularly in online business. For the purposes of simplification, long product lifecycles and an inexhaustible stock are often assumed. Conversely, in the area of fashion it seems expedient to take into account both the product age and the stock. The product lifecycles are mostly very short in this area. In this context it is very important for the retailer to have sold out an item at a particular time if possible, as the subsequent item then appears. It is equally important to know when an item will be sold out, to reorder on cue if the item has not yet reached the end of its life.

A sporting goods retailer uses dynamic prices to control when items sell out in their online shop. A good prediction of when items will be sold out is necessary in order to make the most expedient price adjustments. The time a product is sold out depends not just on its price, but also on other product attributes, such as brand, size and product group.

Task

The task for the participating teams is to use the sales data from a period of four months to develop a prediction model, which can be used to predict the products time of sell out in the following month. The aim is to predict as accurately as possible the precise day when items will sell out.

If you are interested in the task and do not have a password, either register as a team (if you want to take part in the DATA MINING CUP) or contact us.

Downloads

Please enter the password from the team leader mailing in order to get to download the zip archive (1,44 MB) with task and data files.

Task
Solution

Winners

First Place:

Team TH_Zuerich_1

Winning team of the DATA MINING CUP 2018

Prize: 2,000.00 EUR

Second Place:

Team Uni_Mannheim_2

Second place of the DATA MINING CUP 2018

Prize: 1,000.00 EUR

Third Place:

Team TH_Zuerich_2

Third place of the DATA MINING CUP 2018

Prize: 500.00 EUR

Team Registration

Team registration was open between 2018-04-05 and the deadline for solutions on 2018-05-17 at 2:00 p.m. CEST. It is, unfortunately, no longer possible to register your team. If you have any questions, please contact us.

Registered Teams

According to the conditions for participation a maximum of two teams are permitted from each educational institution. Search for your university and find out if any team of your university has already registered for the competition. In order to get into touch with the team leaders please contact us. Please state the correct name of your university. You may also fill in the registration form and use the field “Anything else you want us to know” for requesting the team leaders’ contact.

Search:

The following 193 teams are taking part in the DMC 2018

Sabina-Adriana
Floria
TU_Iasi_Asachi_1
“Gheorghe Asachi” Technical University of Iaşi
Romania (RO)
No
Yes
Muhammad
Magdi
Uni_Alexandria_1
Alexandria University
Egypt (EG)
Yes
Yes
Sina
Mokhtarzadeh Azar
TU_Amirkabir_1
Amirkabir University of Technology
Iran (IR)
No
Yes
Georg
Hans
HS_Anhalt_1
Anhalt University of Applied Sciences
Germany (DE)
No
Yes
Konstantin
Sidorov
Uni_Astrakhan_1
Astrakhan State University
Russia (RU)
Yes
Yes
Ilias
Sarantopoulos
Uni_AUEB_1
Athens University of Economics and Business
Greece (GR)
No
Yes
Aamir
Sohail
Uni_Bahria_1
Bahria University Islamabad
Pakistan (PK)
Yes
Yes
Sardar Waqar
Khan
Uni_Bahria_2
Bahria University islamabad
Pakistan (PK)
Yes
Yes
Gilang
Ardyamandala Al Assyifa
Inst_Bandung_1
Bandung Institute of Technology
Indonesia (ID)
Yes
Yes
Elfina
Karima
Inst_Bandung_2
Bandung Institute of Technology
Indonesia (ID)
Yes
Yes