欢迎您!
东篱公司
退出
申报数据库
申报指南
立项数据库
成果数据库
期刊论文
会议论文
著 作
专 利
项目获奖数据库
位置:
成果数据库
>
会议
> 会议详情页
<span style="font-family:;" times="" new="" roman",serif;font-
所属机构名称:北京航空航天大学
会议名称:The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
时间:2013.8
成果类型:会议
相关项目:经济管理领域中的高维复杂数据分析理论与应用
作者:
Yaqiong Wang|Hongfu Liu|Hao Lin|Junjie Wu|Zhiang Wu|Jie Cao|
同会议论文项目
经济管理领域中的高维复杂数据分析理论与应用
期刊论文 106
会议论文 25
著作 8
同项目会议论文
A multiple linear regression model for compositional data
Enhancing service quality through classifying and managing the attributes
Quality of China’s Catch up from the respective of Productivity Level
<span style="font-family:;" times="" new="" roman?,serif;font-size:
<span style="font-family:;" roman",serif;font-size:12pt;"="" new=&q
<span style="font-family:;" roman",serif;font-size:12pt;"="" new=&q
<span style="font-family:;" roman",serif;font-size:12pt;"="" new=&q
<span style="font-family:;" times="" new="" roman",serif;font-
A novel method for principal component analysis on compositional data variables
<span style="font-family:;" times="" new="" roman",serif;font-
<span style="font-family:;" roman",serif;font-size:12pt;"="" new=&q
投入产出表(A表)的预测建模方法及应用
Complete-information-based Principal Component Analysis on Quantitative Symbolic Data: a Generalized
基于敏捷力提升和价值创造的商业平台构建:大麦网的案例研究
<span style="font-family:;" times="" new="" roman",serif;font-
<span style="font-family:;" roman",serif;font-size:12pt;"="" new=&q
<span style="font-family:;" roman",serif;font-size:12pt;"="" new=&q
<span style="font-family:;" times="" new="" roman",serif;font-
<span style="font-family:;" times="" new="" roman",serif;font-
Optimization of Emergency Vehicles Allocation Based On Response Time and Coverage Rate
Evaluating on profitability of china’s state-owned industrial enterprises: an application of CIPCA o
Principal Component Analysis of Modal interval-valued Data with Constant Numerical Characteristics
Combination Forecasting Model for Water Quality Based on Optimal Weights
Research on the relationship between perceived service and customer satisfaction