计算机应用研究2018，Vol.35Issue(4)：1033-1036,4.DOI:10.3969/j.issn.1001-3695.2018.04.016
基于海量牧区羊群轨迹的区域属性挖掘研究
Research on regional attribute mining based on herd trajectory in massive pastoral areas
摘要
Abstract
Modern animal husbandry manage livestock rely on positioning device in actual grazing,this paper proposed a new division and clustering method based on trajectory velocity disturbance to dig out the potential valuable information from mass daily trajectory data.The method divided continuous positioning trajectory information according to speed threshold and then clustered the divided trajectory data on the basis of geographical position to identify the different living areas.It applied cloud computing technology in data mining to deal with huge data.In order to show different area with diference strength,it used nuclear density analysis to visualize different clustering area.Theory and experiment show that the proposed method can find different living area and strength relationship effectively from large positioning information and it has guiding significance to the follow-up related research.关键词
轨迹挖掘/轨迹划分/聚类/草原畜牧业/云计算Key words
trajectory mining/trajectory division/clustering/prairie animal husbandry/cloud computing分类
信息技术与安全科学引用本文复制引用
杜永兴,何朋,李宝山,秦岭..基于海量牧区羊群轨迹的区域属性挖掘研究[J].计算机应用研究,2018,35(4):1033-1036,4.基金项目
国家自然科学基金资助项目(61501266,61661044) （61501266,61661044）
内蒙古自然科学基金资助项目(2015MS0625) （2015MS0625）
