Multi Label Classification of Discrete Data

Akhand, Bhupesh and Devi, Susheela V (2013) Multi Label Classification of Discrete Data. In: IEEE International Conference on Fuzzy Systems (FUZZ), JUL 07-10, 2013, Hyderabad, INDIA.

PDF ieee_int_con_fuz_sys_2013.pdf - Published Version Restricted to Registered users only Download (299kB) | Request a copy

Abstract

The paper describes an algorithm for multi-label classification. Since a pattern can belong to more than one class, the task of classifying a test pattern is a challenging one. We propose a new algorithm to carry out multi-label classification which works for discrete data. We have implemented the algorithm and presented the results for different multi-label data sets. The results have been compared with the algorithm multi-label KNN or ML-KNN and found to give good results.

Item Type:	Conference Proceedings
Series.:	IEEE International Conference on Fuzzy Systems
Publisher:	IEEE
Additional Information:	Copyright for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords:	multi-label classification; fuzzy pattern recognition
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	11 Jun 2014 10:34
Last Modified:	11 Jun 2014 10:34
URI:	http://eprints.iisc.ac.in/id/eprint/49203

Actions (login required)

View Item