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prudsys AG Zwickauer Straße 16 09112 Chemnitz, Germany http://www.prudsys.de
Contact Ms Denise Seifert +49 371 270930
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prudsys AG

DATA MINING CUP 2017: Pricing task leads to record attendance

This year's DATA MINING CUP ended on 17 May 2017 / More than 200 teams from 48 countries took part in the internationally renowned student competition for intelligent data analysis / The award ceremony will take place during the pps on 27/28 June 2017

(PresseBox) (Chemnitz, )
202 teams from a total of 150 universities from 48 countries took part in this year’s DATA MINING CUP (DMC for short), which came to a close on 17 May 2017 with the submission deadline. The DMC thus broke its own attendance record set in 2015 with 188 teams. Every year, prudsys AG, a company specializing in machine learning and real-time personalization in business, calls on students from around the world to put their expertise to the test on a practical data mining task. For 17 years, the internationally renowned competition has been bridging the gap between theory and practice with a data mining task. The topic of this year’s DMC was to come up with a sales forecast for an online shop that dynamically adapts its prices. Student teams around the world had to create a mathematical model to predict sales figures using historical anonymized transaction data from a real mail-order pharmacy.

There are attractive cash prizes and participation at the prudsys personalization summit (pps) 2017 in Berlin waiting for the most successful teams in the competition. The ten best DMC teams are awarded prizes at the leading event for omni-channel personalization. This year the motto is “retail meets machine learning”. More than 200 visitors from the industry exchange information about news and trends in the field of real-time personalization at the two-day conference for retail. This year the prudsys personalization summit takes place on 27 and 28 June at the nhow hotel in Berlin. A number of best practice presentations from companies including Thalia, SANICARE, 1-2-3.tv, Impressions and Westfalia as well as workshops and a panel discussion are all part of the conference agenda.

To register and view the schedule of events go to: https://summit.prudsys.de

Information about the DATA MINING CUP can be found at: http://www.data-mining-cup.de

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prudsys AG

prudsys AG is the leading supplier of omni-channel personalization in retail. The prudsys Realtime Decisioning Engine (prudsys RDE for short) is the only software solution capable of maximizing customer value across all channels in real time.

Founded in 1998, the company is a pioneer in the field of real-time personalization and is actively involved in the development of online shopping from the beginning. Thanks to the interconnection of recommendations, marketing automation, and dynamic pricing, the prudsys RDE offers customers in over 200 online shops around the world a unique shopping experience.

prudsys AG is the holder of numerous patents and places great importance on cooperation with renowned scientific institutions. The company specializes in realtime analytics and is a member of the DMG and OMG standards committees, directly influencing the development of guidelines in intelligent data analysis.

Every year since 2000 prudsys has organized the DATA MINING CUP. With the internationally renowned competition for intelligent data analysis and forecasting the in Chemnitz / Germany based company supports hundreds of universities and thousands of students in gaining valuable practical experience.

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The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.