Academic Journals Database
Disseminating quality controlled scientific knowledge

A Survey and Current Research Challenges in Multi-Label Classification Methods

ADD TO MY LIST
 
Author(s): Purvi Prajapati | Amit Thakkar | Amit Ganatra

Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307

Volume: 2;
Issue: 1;
Start page: 248;
Date: 2012;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Classification | Single label problem | Multi label problem

ABSTRACT
Classification is used to predict class of unseeninstance as accurate as possible. Multi label classification is avariant of single label classification where set of labels associatedwith single instance. Multi label classification is used by modernapplications, such as text classification, functional genomics,image classification, music categorization etc. This paperintroduces the task of multi-label classification, methods formulti-label classification and evolution measure for multi-labelclassification. Also done comparative analysis of multi labelclassification methods on the basis of theoretical study and thanon the basis of simulation done on various data sets.
Why do you need a reservation system?      Save time & money - Smart Internet Solutions