https://github.com/jonaprieto/imputation

ARSI imputation algorithm for categorical databases
https://github.com/jonaprieto/imputation

arsi imputation missing-values roustida vtrida

Last synced: 8 days ago
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ARSI imputation algorithm for categorical databases

• Host: GitHub
• URL: https://github.com/jonaprieto/imputation
• Owner: jonaprieto
• Created: 2016-08-06T21:15:33.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2018-02-11T19:43:35.000Z (almost 8 years ago)
• Last Synced: 2025-04-05T08:14:38.821Z (10 months ago)
• Topics: arsi, imputation, missing-values, roustida, vtrida
• Language: Mathematica
• Homepage:
• Size: 2.03 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
ARSI Algorithm [![DOI](https://zenodo.org/badge/65102386.svg)](https://zenodo.org/badge/latestdoi/65102386)

==============

We deal with the so-called missing data problem, which is the problem

of imputing missing values in information systems. We propose a new

algorithm, called ARSI algorithm, to address the imputation problem of

missing values on categorical databases using the framework of Rough

Set Theory. This algorithm can be seen as a refinement of ROUSTIDA

algorithm and combines the approach of a generalized nonsymmetric

similarity relation with a generalized discernibility matrix to

predict the missing values on incomplete information systems.

Computational experiments show that the proposed algorithm is as

efficient and competitive as other imputation algorithms.