摘要
以2017年全国大学生数学建模B题为背景,研究"拍照赚钱"任务定价方案。首先分析任务未完成的原因,将四个城市分成12个类别;再根据任务经纬度、任务标价、任务完成情况,利用SPSS聚类将任务编号具体分类;其次利用SPSS进行逻辑回归,得到任务定价C与任务完成率p的定价公式,对不同类别的任务进行重新定价,使任务完成率达到近90%。
In the background of the 2017＇s CUMCM（B）, this paper studies the reasons why the task of ＂ photo making money ＂ has not been completed. Firstly, Clustering is used to divide the photo task into 12 categories according to the location, pricing and completion of the task; Second, use SPSS for logistic regression to obtain the pricing laws of the pricing C and task completion rate P, and to reprice different types of tasks according to this law, so as to make the completion rate reaching nearly 90 %.
作者
李想
林施鹏
郑时伟
冷欣锚
王洁
LI Xiang;LIN Shipeng;ZHENG Shiwei;LENG Xinmao;WANG Jie(School of Mathematics and Information Engineering,Taizhou University,Linhai 317000,Zhejiang,China;Luzhou Tianli School,Luzhou 646000,Sichuan,China)
出处
《台州学院学报》
2018年第3期29-33,44,共6页
Journal of Taizhou University
关键词
拍照赚钱
SPSS
逻辑回归
photo making money
SPSS
logistic regression.
