A NEW APPROACH TO CLASSIFICATION RULE EXTRACTION PROBLEM BY THE REAL VALUE CODING
dc.contributor.author | Koklu, Murat | |
dc.contributor.author | Kahramanli, Humar | |
dc.contributor.author | Allahverdi, Novruz | |
dc.date.accessioned | 2020-03-26T18:23:32Z | |
dc.date.available | 2020-03-26T18:23:32Z | |
dc.date.issued | 2012 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description.abstract | In this study a new method that uses artificial immune system (AIS) algorithm has been presented to extract rules from medical related dataset. Four real life problems data were investigated for determining feasibility of the proposed method. The data were obtained from machine learning repository of University of California at Irvine (UCI). The datasets were obtained from Iris Dataset which is the multi-class problem, Pima Indian Diabetes Dataset and two different Wisconsin Breast Cancer datasets. The proposed method achieved prediciton accuracy ratios of 100%, 77.2%, 98.54% and 95.61% for the Iris, Pima Indians Diabetes, Wisconsin Breast Cancer (original) and Wisconsin Breast Cancer (diagnostic) datasets, respectively. It has been observed that these results are better than the results obtained from related previous studies. | en_US |
dc.description.sponsorship | Scientific Research Projects Unit of Selcuk UniversitySelcuk University | en_US |
dc.description.sponsorship | This study is supported by the Scientific Research Projects Unit of Selcuk University. The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper. | en_US |
dc.identifier.endpage | 6315 | en_US |
dc.identifier.issn | 1349-4198 | en_US |
dc.identifier.issue | 9 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 6303 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/27676 | |
dc.identifier.volume | 8 | en_US |
dc.identifier.wos | WOS:000309246100023 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | ICIC INTERNATIONAL | en_US |
dc.relation.ispartof | INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | Rules extraction | en_US |
dc.subject | Artificial immune systems | en_US |
dc.subject | CLONALG algorithm | en_US |
dc.title | A NEW APPROACH TO CLASSIFICATION RULE EXTRACTION PROBLEM BY THE REAL VALUE CODING | en_US |
dc.type | Article | en_US |