repository
Special Graduate Schools
Graduate School of Science and Technology
Department of Industrial Engineering
3. Theses(Master)
기계학습알고리즘을 이용한 의료비남용/부당청구 탐지 방법론
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 안열우 | - |
| dc.date.accessioned | 2018-11-08T08:03:21Z | - |
| dc.date.available | 2018-11-08T08:03:21Z | - |
| dc.date.issued | 2011-02 | - |
| dc.identifier.other | 11699 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/9910 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :산업공학과,2011. 2 | - |
| dc.description.tableofcontents | 1 Introduction 1 2 Literature Review 4 3 Novelty Detectors 5 3.1 Novelty detection 5 3.2 Diverse Novelty Detectors 6 3.2.1 One Class Support Vector Machine 7 3.2.2 Support Vector Data Description 8 3.2.3 k-NN Based Data Description 9 3.2.4 K-means Data Description 9 3.2.5 Principal Component Analysis Data description 10 3.2.6 Gaussian Density Estimation 11 3.2.7 Mixture of Gaussian Density Estimation 12 4 Committee network of Machine Reviewers 13 4.1 Committee Network 13 4.2 Committee Weight 14 4.3 Committee Score 15 5 Experimental Results 16 5.1 Benchmark Data Set 16 5.1.1 Benchmark Data and Experimental Setting 16 5.1.2 Result 17 5.2 HIRA Data Set 23 5.2.1 HIRA Data and Experimental Setting 23 5.2.2 Result 24 6 Conclusion 26 Bibliography 27 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 기계학습알고리즘을 이용한 의료비남용/부당청구 탐지 방법론 | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 데이터마이닝연구실 | - |
| dc.contributor.department | 일반대학원 산업공학과 | - |
| dc.date.awarded | 2011. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 569022 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000011699 | - |
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