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Activity Number: 544
Type: Contributed
Date/Time: Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Graphics
Abstract - #307023
Title: What Can Match 'a Daisy a Day'?
Author(s): Rachel Graham*+ and Heike Hofmann
Companies: Iowa State University and Iowa State University
Address: 202 Snedecor Hall, Ames, IA, 50011,
Keywords: bar charts ; categorical data
Abstract:

The idea of this paper is based on the task posed in the KDD Cup 2005, where the challenge was to tag a user given query with up to five categories from a larger set of predefined categories. An interesting generalization of this problem, with many applications in other areas of data analysis, is to allow arbitrary many tags for a single query. The challenge then changes from picking a specified top "X" number of best matches to finding a data driven cut-off point. In this talk we are going to present our approach of defining the best matches based on statistics of the underlying distribution, such as modes, kurtosis and skewness.

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