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Code that implements the novel outlier detection algorithms from my Ph.D. dissertation.
License: Other
This project forked from benb111/outlier-detect
Code that implements the novel outlier detection algorithms from my Ph.D. dissertation.
License: Other
outlier-detect (http://github.com/benb111/outlier-detect) Ben Birnbaum ([email protected]) Licensed under Apache (see LICENSE) Python implementions of the Multinomial Model Algorithm (MMA) and the s-Value Algorithm (SVA), as described in B. Birnbaum, B. DeRenzi, A. D. Flaxman, and N. Lesh. Automated quality control for mobile data collection. In DEV โ12, pages 1:1โ1:10, 2012. B. Birnbaum. Algorithmic approaches to detecting interviewer fabrication in surveys. Ph.D. Dissertation, Univeristy of Washington, Department of Computer Science and Engineering, 2012. (See http://bbirnbaum.com/pubs.html for PDF versions of these papers.) To install: python setup.py install Switch to the 'display' branch on git to use experimental visualization code in outlierdetect.
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