Loyola-González O, Medina-Pérez MA, Choo KKR. A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges.
JOURNAL OF GRID COMPUTING 2020;
18:797-845. [PMID:
33041735 PMCID:
PMC7532948 DOI:
10.1007/s10723-020-09526-y]
[Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 06/19/2020] [Indexed: 05/31/2023]
Abstract
Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers. In this paper, we survey 105 articles and provide an in-depth review of CP-based supervised classification and its applications. Based on our review, we present a taxonomy of the existing application domains of CP-based supervised classification, and a scientometric study. We also discuss potential future research opportunities.
Collapse