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Abstract Details
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Activity Number:
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104
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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General Methodology
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| Abstract - #303476 |
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Title:
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Increasing Innovation Using Data Mining Competitions
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Author(s):
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Jeremy Howard*+
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Companies:
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Kaggle
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Address:
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307/107 Beach St, Port Melbourne, International, 3207, Australia
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Keywords:
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data mining ;
machine learning ;
competitions ;
crowdsourcing ;
predictive modelling
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Abstract:
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Kaggle is an online data analytics contest site that allows organizations to host predictive analytics competitions, much like the Netflix $1M Prize from 2009. Recent contests have involved developing statistical procedures to predict success of submitted grant applications, severity of HIV progression, and when supermarket shoppers will next visit the store and the amount they will spend.
A typical contest involves an organization posting a portion of a data set, and contestants are challenged to produce the most accurate predictions on a held-out sample. Typical first-place prizes for contest winners are in the thousands of dollars, including a currently run contest on predicting hospital lengths-of-stay that will earn the winner $3M. This talk discusses Kaggle's role in creating an environment for influencing academic research through data mining competitions.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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