연령별 퇴원률 예측을 위한 1R과 J48을 이용한 실험적 비교

• 영문명: Experimental comparison with the 1R&J48 discharge rate predicted for age
• 발행기관: 한국IT마케팅학회
• 저자명: 김은정(Eun Jung Kim) 정용규(Yong Gyu Jung)
• 간행물 정보: 『한국IT마케팅학회 논문집』한국IT마케팅학회 논문집 1권 1호, 24~25쪽, 전체 2쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2014.11.27

영문 초록

Big Data has become very important recently, and has been used in many fields. Must use data mining techniques to analyze the data must first be analyzed in order to take advantage of these big data. Classification techniques for using data mining techniques are J48, using one R dioxide was used in the pre-processing technique for the attribute. The data used is a Hospital Inpatient Discharges by Patient County of Residence SPARCS Beginning 2009.csv data compared with the inpatient hospital patient on the patient's residence to investigate Autonomous Prefecture in 2009, starting in SPARCS. This experiment using the priority rules of the data based on the classification scheme oneR for analyzing the number of characters to discharge according to the age saw classified. Chuhu more collecting experimental data on and, more property to more Classification each algorithm is based, it is necessary to apply in the various points of view.

목차

Abstract

Ⅰ. 서론

Ⅱ. 관련연구

Ⅲ. 실험

Ⅳ. 실험결과 고찰

Ⅳ. 실험결과 고찰

참고문헌