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Activity Number:
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483
- Integration of Diverse Data Sets
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Type:
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Invited
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Date/Time:
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Wednesday, August 2, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Learning and Data Science
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Abstract #322307
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View Presentation
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Title:
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Data Integration for Heterogenous Data Sets
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Author(s):
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Alfred Hero, III*
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Companies:
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University of Michigan
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Keywords:
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data science ;
big data ;
diverse data
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Abstract:
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Heterogeneous data comes in two forms: sample heterogeneity, which is due to the existence of diverse data types in each sample vector; and population heterogeneity, which is due to non-identical distribution of different sample realizations. This presentation will focus on the problem of sample heterogeneity. We will present a case study and a multimodal factor analysis framework for combining the information from different data types and different scales.
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Authors who are presenting talks have a * after their name.
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