Title :
Multi label classification of discrete data
Author :
Akhand, Bhupesh ; Susheela Devi, V.
Author_Institution :
Dept. of Comput. Sci. & Autom., Indian Inst. of Sci., Bangalore, India
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.
Keywords :
data handling; learning (artificial intelligence); pattern classification; discrete data; multi label classification; multilabel KNN algorithm; multilabel data sets; multilabel learning; test pattern classification; Classification algorithms; Clustering algorithms; Conferences; Data mining; Training; Training data; Vectors; fuzzy pattern recognition; multi-label classification;
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4799-0020-6
DOI :
10.1109/FUZZ-IEEE.2013.6622574
