paratextAug 8, 2016Closed access

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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Abstract

It is our great pleasure to welcome you to the 2016 ACM Conference on Knowledge Discovery and Data Mining -- KDD'16. We hope that the content and the professional network at KDD'16 will help you succeed professionally by enabling you to: identify technology trends early; make new/creative contributions; increase your productivity by using newer/better tools, processes or ways of organizing teams; identify new job opportunities; and hire new team members. We are living in an exciting time for our profession. On the one hand, we are witnessing the industrialization of data science, and the emergence of the industrial assembly line processes characterized by the division of labor, integrated processes/pipelines…

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Topics & keywords

Keywords
  • Data science
  • Computer science
  • Productivity
  • Field (mathematics)
  • Knowledge extraction
  • Serendipity
  • Artificial intelligence
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