Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Machine Learning for Big Data System Acquisition Poster (SEI 2015 Research Review)

  • October 2015
  • By John Klein
  • Tackles the question, "Can we automatically identify relevant document pages that contain the knowledge required for a curator to populate the knowledge base?"
  • Publisher: Software Engineering Institute
  • Abstract

    This project's solution approach involves machine learning to populate knowledge bases for decision support and validations with big data technologies to show feasibility for broader application (e.g. SOA, analytics) in acquisition and IT system modernization 

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SEI 2015 Research Review Artifacts