Efficient feature selection for logical analysis of large-scale multi-class datasets

Kedong Yan (), Dongjing Miao (), Cui Guo () and Chanying Huang ()
Additional contact information
Kedong Yan: School of Computer Science and Engineering, Nanjing University of Science and Technology
Dongjing Miao: Faculty of Computing, Harbin Institute of Technology
Cui Guo: Business School, Shantou University
Chanying Huang: School of Computer Science and Engineering, Nanjing University of Science and Technology

Journal of Combinatorial Optimization, 2021, vol. 42, issue 1, No 1, 23 pages

Abstract: Abstract Feature selection in logical analysis of data (LAD) can be cast into a set covering problem. In this paper, extending the results on feature selection for binary classification using LAD, we present a mathematical model that selects a minimum set of necessary features for multi-class datasets and develop a heuristic algorithm that is both memory and time efficient for this model correspondingly. The utility of the algorithm is illustrated on a small example and the superiority of our work is demonstrated through experiments on 6 real-life multi-class datasets from UCI repository.

Keywords: Logical Analysis of Data; Supervised Learning; Feature Selection; Multi-classification; Set Covering (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10878-021-00732-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jcomop:v:42:y:2021:i:1:d:10.1007_s10878-021-00732-2

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10878

DOI: 10.1007/s10878-021-00732-2

Access Statistics for this article

Journal of Combinatorial Optimization is currently edited by Thai, My T.

More articles in Journal of Combinatorial Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().