MakeDensityBased Cluster를 이용한 NYSDOH의 인플루엔자 감염예측

• 영문명: Influenza Infection Prediction of NYSDOH using MakeDensityBased Clustering
• 발행기관: 한국IT마케팅학회
• 저자명: 조아영(A Young Jo) 정용규(Yong Gyu Jung)
• 간행물 정보: 『한국IT마케팅학회 논문집』한국IT마케팅학회 논문집 1권 1호, 96~97쪽, 전체 2쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2014.11.27

영문 초록

This is a serious situation of livestock farmers in recent avian influenza occurrence. Influenza can lead to complications such as bacterial pneumonia, otitis media, acute respiratory diseases, and chronic diseases such as heart failure worsened, asthma, diabetes, etc. increases the threat of serious complications occur. So find out the status of influenza in 2009 NYSDOH for predicting influenza infection data up to 2014, using data mining techniques to analyze and study it. To determine the density distribution of the data based on the verification of the results were required for comparing the Visualize the algorithm for each situation. Applying a principal component analysis (PCA) algorithm to improve performance, and the performance is evaluated by verifying the accuracy of the classification model.In this paper, we apply the Influenza Laboratory Confirmed Cases Reported to NYSDOH experimental data, especially in the cluster classification algorithm using MakeDensityBasedCluster predicted influenza infection.

목차

Abstract

Ⅰ. 서론

Ⅱ. 관련연구

Ⅲ. 인플루엔자 감염 위험성 분석

Ⅳ. 실험

Ⅴ. 결론

참고문헌

키워드

MakeDensityBasedCluster Influenza infection Measures NYSDOH reports Clustering