paratextAug 12, 2012Closed access

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

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Abstract

The KDD conference has seen remarkable growth since its origins as an IJCAI workshop in Detroit in 1989, evolving into a full-fledged research conference in 1995, underscoring the important role data mining as a field has played in extracting knowledge and actionable insights from vast troves of data that is being generated in the digital world around us. This year we received a record 755 submissions to the research program, from which 133 papers were accepted, for an aggregate acceptance rate of 17.6% (quite similar to recent years). Among the academic conferences, the KDD conference has typically more of an emphasis on research motivated by real-world applications. It is important to keep in mind that it is…

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Topics & keywords

Keywords
  • Computer science
  • Knowledge extraction
  • Data science
  • Construct (python library)
  • Field (mathematics)
  • Big data
  • Web mining
  • Inference
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