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关联规则挖掘在奶牛营养研究中的应用 被引量:1

Application of association rules in nutrition analysis of dairy cow
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摘要 【目的】揭示隐含在奶牛营养分析结果数据中影响奶牛瘤胃乙酸/丙酸的关联关系和因素,为奶牛营养研究和奶牛养殖提供参考。【方法】选用奶牛营养分析结果的100条数据,应用改进的关联挖掘算法DMApriori算法,对奶牛营养分析结果中瘤胃乙酸/丙酸低于或高于正常值的情况进行了关联分析。【结果】饲喂一般牧草黑白花牛的瘤胃乙酸/丙酸低于正常值的可信度为70%;当前体质量在598~698 kg的奶牛多为黑白花牛,可信度为75%;日产奶量在10~20 kg的奶牛多为黑白花牛,可信度为70%;乳脂率在3%~4%的奶牛大多为黑白花牛,可信度为88%。【结论】通过对奶牛营养分析中的大量数据进行关联规则挖掘,提取蕴含在这些大量数据中有意义、有价值的信息,可以为奶牛营养研究和养殖的规划调整提供科学依据。 【Objective】 This study was done to discover the relationship and factors that affect the value of rumen acetic acid to propionic acid ratio about cow,which may provide valuable information and scientific ways for producer and technician in field of dairy cow nutrition.【Method】 One hundred data sets of nutrition analysis result of dairy cow were chosen in this experiment,using the improvement algorithm named DMApriori to analyze the result of nutrition diagnosis of dairy cow and work out what factor may make...
出处 《西北农林科技大学学报(自然科学版)》 CSCD 北大核心 2010年第9期155-160,共6页 Journal of Northwest A&F University(Natural Science Edition)
基金 西北农林科技大学校内留学归国人员科研启动项目(011404)
关键词 关联规则 DMApriori算法 数据挖掘 奶牛营养分析 association rule DMApriori data mining nutrition analysis of dairy cow
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