基于数学模型的关联规则实用性测度指标在养猪过程中的应用  

The Application of the Practical Measures in Association Rules Based on the Mathematical Model

作　　者：王越[1] 邢茜[1] 

机构地区：[1]重庆理工大学计算机科学与工程学院,重庆400054

出　　处：《重庆理工大学学报（自然科学）》2012年第1期47-52,共6页Journal of Chongqing University of Technology：Natural Science

基　　金：重庆市科委攻关项目"智能型猪生产性能自动测定系统的研究与应用"(2010GGB097)

摘　　要：将关联规则挖掘应用于养猪产业当中,力求通过对各数据间的关联分析,寻找有效、实用的关联规则,为个体猪肉质研究和养殖提供参考。通过实例试图发现不同饲料类型、采食方式和个体猪瘦肉率含量变化的关联关系。对大量数据进行关联规则挖掘,并基于数学模型进行实用性指标测定,提取蕴含在这些大量数据中有意义、有价值的信息,为个体猪养殖的规划调整提供科学依据。This paper attempts to apply the association rules in data mining to the pig-keeping industry.By analyzing the correlations and associations between the relative data,the paper aims to search for effective and practical association rules as references to research on meat quality and pig-keeping.Case study has been conducted to find out the relationship between the meat quality indices and different fodder and feeding methods.Based on association rules in mining mass data,mathematical models have been used to measure the practicability indices,so that meaningful and significant information can be extracted as scientific evidence for planning and regulating the pig-keeping industry.

关 键 词：数据挖掘 关联规则 数学模型 饲料类型 采食方式 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]