Exploiting Confusion Matrices for Automatic Generation of Topic Hierarchies and Scaling Up Multi-Way Classifiers (2002)
by
Shantanu Godbole
| Citations: | 3 - 2 self |
BibTeX
@MISC{Godbole02exploitingconfusion,
author = {Shantanu Godbole},
title = {Exploiting Confusion Matrices for Automatic Generation of Topic Hierarchies and Scaling Up Multi-Way Classifiers},
year = {2002}
}
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Abstract
A common way to evaluate a multi-way classifier is a confusion matrix that plots, for each of the learned concepts, the true class of test instances against the predicted classes. Aggregate accuracy figures of the classifier are obtained by summing up the diagonal entries of the confusion matrix. However, invaluable information about the relationships amongst classes is often ignored. In this report we show various ways in which the notion of similarity amongst subsets of classes from the confusion matrix can be exploited.
Citations
| 1458 | An algorithm for suffix stripping - Porter - 1980 |
| 1366 | Text categorization with support vector machines: learning with many relevant features - Joachims - 1998 |
| 191 | Large margin DAGs for multiclass classification - Platt, Cristianini, et al. - 2000 |
| 133 | A toolkit for statistical language modeling, text retrieval, classi and clustering. www.cs.cmu.edu/ mccallum/bow - Bow - 1996 |
| 87 | Raghavan P: Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomy - Chakrabarti, AR - 1998 |
| 61 | Data Mining for hypertext: A tutorial survey - Chakrabarti - 2000 |
| 20 | Hierarchic document clustering using ward’s method - El-Hamdouchi, Willett - 1986 |
| 20 | SVMlight : Support Vector Machine, http://svmlight.joachims.org - Joachims |
| 4 | Applied Multivariate Statistical Analysis, chapter 12 - Johnson, Wichern - 1982 |
