Knowledge Pit - A Data Challenge Platform

نویسندگان

  • Andrzej Janusz
  • Dominik Slezak
  • Sebastian Stawicki
  • Mariusz Rosiak
چکیده

Knowledge Pit (https://knowledgepit.fedcsis.org) is a web platform created to facilitate organization of data mining competitions. Its main aim is to stimulate collaborative research for solving practical problems related to real-life applications of predictive analysis and decision support systems. What makes Knowledge Pit different from other data challenge platforms is the fact that it is a non-commercial project focusing on a collaboration with international conferences. It promotes the idea of open research and encourages young researchers to involve in projects related to data science. The platform can also be used as a elearning tool to support data mining courses and for defining interesting student projects. In this paper we discuss the architecture of Knowledge Pit and highlight its main functionalities. We also overview some of the already finished data challenges that were organized using our web platform.

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تاریخ انتشار 2015