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Abstract Details
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Activity Number:
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532
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Type:
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Roundtables
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Date/Time:
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Wednesday, August 3, 2011 : 12:30 PM to 1:50 PM
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Sponsor:
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Business and Economic Statistics Section
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| Abstract - #300567 |
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Title:
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Electronic Commerce, Data, and Statistical Challenges
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Author(s):
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Wolfgang Jank*+
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Companies:
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University of Maryland
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Address:
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4322 Van Munching Hall, College Park, MD, 20742-1815, USA
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Keywords:
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internet ;
dynamic models ;
data mining
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Abstract:
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Internet transactions create huge floods of complex and challenging data. Every time we purchase an item on Amazon, post a message on Facebook or search on Google, someone records our every click and move of the mouse. This wealth of information creates challenges but also opportunities for statistical innovation. Information changes dynamically and requires real-time predictions. Users are geographically vastly dispersed and communicate in a variety of different languages - yet statistical algorithms have to understand what a user wants, when she wants it and how urgently. Statistical challenges include extracting spatio-temporal differences based on text, voice or relational information. In this round table, we intend to discuss some of these challenges as well as opportunities for Statistics to get involved.
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Authors who are presenting talks have a * after their name.
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