Abstract Details
Activity Number:
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258
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Type:
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Contributed
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Date/Time:
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Monday, August 10, 2015 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Learning and Data Mining
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Abstract #317087
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Title:
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Machine Learning for Machine Data
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Author(s):
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Sou-Cheng Choi*
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Companies:
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NORC at the University of Chicago
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Keywords:
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natural language processing ;
big Data ;
rare events ;
machine learning ;
data mining ;
prediction
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Abstract:
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We present machine learning and high-accuracy prediction methods of rare events in semi-structured or unstructured log files produced at high velocity and high volume by NORC's computer-assisted telephone interviewing network. These machine log files are generated by our internal Voxco Servers for a telephone survey. We adapt natural language processing (NLP) techniques and data-mining methods to train powerful learning and prediction models for error messages in the log files in the absence of source code, updated documentation, and relevant dictionaries.
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Authors who are presenting talks have a * after their name.
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