CAJ | 학술논문

在对大数据中的特征与数据挖掘进行了简要介绍的基础上,采用Map-Reducede方法,将大数据应用在动物医院中,提出了宠物的电子芯片与动物医院中以电子病历为中心的管理系统有效结合,为动物医院提供了大量的数据资源,采用关联分析与维度表联系,应用模糊聚类的方法对其聚类分析以及异常点检测,将大量的数据资源加载到具体的环境中,为我国动物医院的互联互通和数据共享建立了一个良好的社会环境.
재대대수거중적특정여수거알굴진행료간요개소적기출상,채용Map-Reducede방법,장대수거응용재동물의원중,제출료총물적전자심편여동물의원중이전자병력위중심적관리계통유효결합,위동물의원제공료대량적수거자원,채용관련분석여유도표련계,응용모호취류적방법대기취류분석이급이상점검측,장대량적수거자원가재도구체적배경중,위아국동물의원적호련호통화수거공향건립료일개량호적사회배경.
This paper introduces the characteristics of big data and data mining, and uses Map-Reduce method to implement the application of big data in animal hospital. It puts forward a method of combining electronic pet chip and the management system centered by animal hospital electronic medical records. This method provides a large amount of data resources to animal hospital. Based on clustering analysis and anomaly detection for big data resources performed by using correlation analysis, contact dimension table and fuzzy clustering method, the big data resources are loaded into specific environments to build a favorable social environment for interconnection and interworking and data sharing in animal hospital.