The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
104
|
|
Type:
|
Invited
|
|
Date/Time:
|
Monday, July 30, 2012 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
General Methodology
|
| Abstract - #303522 |
|
Title:
|
Data Analysis Contests: From Good to Better?
|
|
Author(s):
|
Charles Elkan*+
|
|
Companies:
|
University of California at San Diego
|
|
Address:
|
Computer Science and Engineering 0404, La Jolla, CA, 92093-0404,
|
|
Keywords:
|
Data mining ;
Prizes ;
Applications ;
Healthcare ;
Business ;
Machine learning
|
|
Abstract:
|
Data analysis contests are growing dramatically in number and popularity. The Netflix prize brought the opportunity for contests to drive commercial and scientific progress to the attention of millions of people outside the statistical community. This presentation will outline recent successful contests involving the analysis of large-scale data from astronomy, from medical records, from supermarkets, and elsewhere. The speaker will then discuss lessons learned about designing successful contests, and how current limitations can be overcome. In particular, how can algorithm speed be measured objectively in a contest?
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.