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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.
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Affiliation(s)
- Octavio Loyola-González
- Tecnologico de Monterrey, Reserva Territorial Atlixcáyotl, Vía Atlixcáyotl No. 2301, Puebla, 72453 Mexico
| | - Miguel Angel Medina-Pérez
- Tecnologico de Monterrey, Carretera al Lago de Guadalupe Km. 3.5, Atizapán, Estado de Mexico 52926 México
| | - Kim-Kwang Raymond Choo
- Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX 78249 USA
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Métivier JP, Lepailleur A, Buzmakov A, Poezevara G, Crémilleux B, Kuznetsov SO, Goff JL, Napoli A, Bureau R, Cuissart B. Discovering Structural Alerts for Mutagenicity Using Stable Emerging Molecular Patterns. J Chem Inf Model 2015; 55:925-40. [DOI: 10.1021/ci500611v] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
| | - Alban Lepailleur
- Normandie Université, Caen, France
- UNICAEN, CERMN,
UPRES EA 4258, FR CNRS 3038, F-14032 Caen, France
| | - Aleksey Buzmakov
- Laboratoire
Lorrain de Recherche en Informatique et ses Applications (LORIA), University of Lorraine, Nancy, France
- National Research University Higher School of Economics (HSE), Moscow, Russia
| | - Guillaume Poezevara
- Normandie Université, Caen, France
- UNICAEN, GREYC,
UMR CNRS 6072, F-14032 Caen, France
- UNICAEN, CERMN,
UPRES EA 4258, FR CNRS 3038, F-14032 Caen, France
| | - Bruno Crémilleux
- Normandie Université, Caen, France
- UNICAEN, GREYC,
UMR CNRS 6072, F-14032 Caen, France
| | - Sergei O. Kuznetsov
- National Research University Higher School of Economics (HSE), Moscow, Russia
| | | | - Amedeo Napoli
- Laboratoire
Lorrain de Recherche en Informatique et ses Applications (LORIA), University of Lorraine, Nancy, France
| | - Ronan Bureau
- Normandie Université, Caen, France
- UNICAEN, CERMN,
UPRES EA 4258, FR CNRS 3038, F-14032 Caen, France
| | - Bertrand Cuissart
- Normandie Université, Caen, France
- UNICAEN, GREYC,
UMR CNRS 6072, F-14032 Caen, France
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