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

Zijun
Yao
School_BI_Norwegian_1
BI Norwegian Business School
Norway (NO)
No
Yes
Muhammad Murtadha
Ramadhan
Uni_IPB_Bogor_1
Bogor Agricultural University
Indonesia (ID)
Yes
Yes
Fathi Abdul
Muhyi
Uni_IPB_Bogor_2
Bogor Agricultural University
Indonesia (ID)
Yes
Yes
Youssef
Mohamed
Uni_Cairo_1
Cairo University
Egypt (EG)
Yes
Yes
Sebastian
Biermann
TU_Chemnitz_1
Chemnitz University of Technology
Germany (DE)
No
Yes
Adeel
Younas
Inst_Comsats_1
Comsats Institute of Information Technology
Pakistan (PK)
Yes
Yes
Zain
Ali
Inst_Comsats_2
COMSATS University Islamabad
Pakistan (PK)
No
Yes
Dominique
Sy
Uni_DL_Salle_1
De La Salle University
Philippines (PH)
Yes
Yes
Andreas
Kappl
TH_Deggendorf_1
Deggendorf Institute of Technology
Germany (DE)
No
Yes
lina
parra
Uni_Distrital_1
Distrital francisco jose de caldas
Colombia (CO)
No
Yes