paratextAug 22, 2014Closed access

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Indexed incrossref

Abstract

It is our great pleasure to welcome you to the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). The annual ACM SIGKDD conference is the premier international forum for data science, data mining, knowledge discovery and big data. It brings together researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. KDD-2014 features plenary presentations, paper presentations, poster sessions, workshops, tutorials, exhibits, and the KDD Cup competition. We are happy to announce that this year we are partnering with Bloomberg to emphasize our theme of Data Science for Social Good. To this end, part of our workshop and tutorial…

Citation impact

1,525
total citations
FWCI
Percentile
References
0
Citations per year

Topics & keywords

Keywords
  • Knowledge extraction
  • Big data
  • Government (linguistics)
  • Theme (computing)
  • Computer science
  • Data science
  • Field (mathematics)
  • Pleasure
UN Sustainable Development Goals
  • Partnerships for the goals
No related works found for this paper.