期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
基于FTRM模型和K-means算法的大学生知识付费产品使用行为研究 被引量:2
1
作者 巫芯宇 《西南大学学报(自然科学版)》 CAS CSCD 北大核心 2021年第6期195-204,共10页
我国知识付费行业已进入到精细化运营时代,而精细化运营的前提是对用户的差异化进行分类研究.大学生是使用知识付费产品的主要群体之一,而目前针对该群体的知识付费产品使用行为差异化分类研究还很少,因此基于FTRM模型和K-means算法的... 我国知识付费行业已进入到精细化运营时代,而精细化运营的前提是对用户的差异化进行分类研究.大学生是使用知识付费产品的主要群体之一,而目前针对该群体的知识付费产品使用行为差异化分类研究还很少,因此基于FTRM模型和K-means算法的大学生知识付费产品使用行为研究具有理论意义.本文首先对大学生使用知识付费产品的动机和认知进行分析,然后对大学生的基本属性与知识付费产品使用行为的关系进行了相关性探索,最后基于传统RFM模型,结合知识付费产品的特点,提出一种改进的FTRM模型.基于该模型,利用K-means聚类算法,将大学生群体聚类为睡眠型(或流失型)用户、忠实型用户、未付费转化型用户和冲动消费型用户4类用户群体,并针对每一类群体提出差异化的营销建议. 展开更多
关键词 知识付费 ftrm模型 K-MEANS算法 行为研究
下载PDF
Causal Relationship Model of Firm Characteristics Factors and Good Cooperate Governance Affecting the Performance of the Companies Listed on the Stock Exchange of Thailand
2
作者 Senee Puangyanee Supisam Bhakdinarinath 《Management Studies》 2017年第6期589-597,共9页
The objective of this research was to develop the causal relationship model of firm characteristics factors and good corporate governance affecting the performance of the companies listed on the Stock Exchange of Thai... The objective of this research was to develop the causal relationship model of firm characteristics factors and good corporate governance affecting the performance of the companies listed on the Stock Exchange of Thailand. The developed model consisted of three latent variables and eight observable variables. The sample of this study was 338 companies listed on the Stock Exchange of Thailand. Data are from annual reports (form-56), annual financial statements and notes to the fmancial statements during the years 2010-2013. The statistics used in this study were descriptive statistics. The causal model was analyzed through a path analysis with LISREL 8.80 Student Edition. The results showed as follows. By testing the consistence of the causal model of finn characteristics (CHA), the assumed model was consistent with empirical data. Based on the statistical test, the Chi-Square was 22.08. The statistical probability (p) was 0.077, the degree of freedom (dO was to 0, 2/2 was 1.58, RMSEA was 0.041, SRMR was 0.037, GFI was 0.98, CFI was 0.99, AGFI was 0.96. The latent variable of firm characteristics (CHA) had directly negative impact on performance (PAL) with a statistical significance level of 0.01. A path coefficient was 0.18. However, CHA variable did not indirectly influence performance (PAL) and it had directly negative impact on good corporate governance (GGN) with a path coefficient of 0.02 without statistical significance level. The latent variable of good corporate governance (GGN) had directly positive impact on the performance (PAL) with a statistical significance level of 0.05, with a path coefficient of 0.18. 展开更多
关键词 ftrm characteristics good corporate governance PERFORMANCE
下载PDF
基于检查点机制的容错实时调度算法CP-PRA 被引量:2
3
作者 张智超 桑楠 熊光泽 《计算机工程与设计》 CSCD 2004年第4期508-511,602,共5页
时间冗余作为容错的重要手段被广泛应用于安全关键实时系统中。传统客错调度算法为失败任务的重运行(Re-execute)预留了大量的空闲时间,但是重运行的使用会降低系统的资源利用率。提出了一种基于检查点机制的容错调度算法CP-PRA,通过降... 时间冗余作为容错的重要手段被广泛应用于安全关键实时系统中。传统客错调度算法为失败任务的重运行(Re-execute)预留了大量的空闲时间,但是重运行的使用会降低系统的资源利用率。提出了一种基于检查点机制的容错调度算法CP-PRA,通过降低错误恢复需要的时间,可以有效地提高系统的资源利用率。给出了该算法的可调度条件,并证明了其算法的正确性。 展开更多
关键词 检查点 容错调度 CP-PRA 实时系统 时间冗余
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部