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Activity Number: 258
Type: Contributed
Date/Time: Monday, August 10, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract #317087
Title: Machine Learning for Machine Data
Author(s): Sou-Cheng Choi*
Companies: NORC at the University of Chicago
Keywords: natural language processing ; big Data ; rare events ; machine learning ; data mining ; prediction
Abstract:

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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