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检索条件"机构=Key Lab on Big Data Mining and Knowledge Management"
1038 条 记 录,以下是301-310 订阅
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Impact of IT Capability on Inventory management: An Empirical Study  8
Impact of IT Capability on Inventory Management: An Empirica...
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8th International Conference on Information Technology and Quantitative management (ITQM) - Developing Global Digital Economy after COVID-19
作者: Tian, Xin Wang, Haoqing Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Econ & Management Beijing 100190 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China
Despite the widespread adoption of technology in inventory management, empirical research that examines the effect of these technologies is scarce. Does IT capability really have a positive effect on the inventory man... 详细信息
来源: 评论
Search Engine Marketing, Financing Ability and Firm Performance in E-commerce  3
Search Engine Marketing, Financing Ability and Firm Performa...
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3rd International Conference on Information Technology and Quantitative management (ITQM)
作者: Yang, Zhuofan Shi, Yong Wang, Bo Univ Chinese Acad Sci Management Sch Beijing 100190 Peoples R China Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Chinese Acad Sci Key Res Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China
This paper explores the relationship of search engine marketing, financing ability and e-commerce firm performance by the empirical research on China's B2C e-commerce firms. Results show that search engine marketi... 详细信息
来源: 评论
A Model-Embedded Trend Test with Incorporating Hardy-Weinberg Equilibrium Information
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Journal of Systems Science & Complexity 2017年 第1期30卷 101-110页
作者: HU Xiaonan DUAN Xiaogang PAN Dongdong ZHANG Sanguo LI Qizhai School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China KeyLaboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing 100190China. School of Statistics Beijing Normal University Beijing 100875 China. Department of Statistics Yunnan University Kunming 650091 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy ofSciences Beijing 100190 China.
The genetic models are greatly important in the analysis of genetic epidemiologic studies and many of the studies are conducted using the trend test under the additive model. However, for many complex diseases and tra... 详细信息
来源: 评论
Cross-media Topic Detection with Refined CNN based Image-Dominant Topic Model  15
Cross-media Topic Detection with Refined CNN based Image-Dom...
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ACM International Conference on Multimedia (ACM Multimedia)
作者: Wang, Zhiyi Li, Liang Huang, Qingming Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Inst Comput Tech Key Lab Intell Info Proc Beijing Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing Peoples R China
Online heterogenous data is springing up while the data has the rich auxiliary information (e.g. pictures and videos) around the text. However, traditional topic models are suffering from the limitations to discover t... 详细信息
来源: 评论
Forecasting China's Service Outsourcing Development with an EMD-VAR-SVR Ensemble Method
Forecasting China's Service Outsourcing Development with an ...
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4th International Conference on Information Technology and Quantitative management (ITQM) - Promoting Business Analytics and Quantitative management of Technology
作者: Yi, Siqi Guo, Kun Chen, Zhensong Chinese Acad Sci Sch Econ & Management Beijing 100190 Peoples R China Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Chinese Acad Sci Key Lab Big DataMin & Knowledge Management Beijing 100190 Peoples R China
Service outsourcing is playing a more and more important role in the world economy. With the fast development of information technology and service industry, China is witnessing an accelerated growth momentum of servi... 详细信息
来源: 评论
Extreme Market Prediction for Trading Signal with Deep Recurrent Neural Network  18th
Extreme Market Prediction for Trading Signal with Deep Recur...
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18th International Conference on Computational Science (ICCS)
作者: Lu, Zhichen Long, Wen Guo, Ying Univ Chinese Acad Sci Sch Econ & Management Beijing 100190 Peoples R China Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China
Recurrent neural network are a type of deep learning units that are well studied to extract features from sequential samples. They have been extensively applied in forecasting univariate financial time series, however... 详细信息
来源: 评论
Constrained matrix factorization for semi-weakly learning with label proportions
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PATTERN RECOGNITION 2019年 91卷 13-24页
作者: Chen, Zhensong Shi, Yong Qi, Zhiquan Capital Univ Econ & Business Informat Sch Beijing 100070 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Univ Nebraska Coll Informat Sci & Technol Omaha NE 68182 USA
Learning with label proportions (LLP) is a weakly supervised learning problem that is conceivable in many real-world applications, where the training data is given in bags of instances, and only knowing the proportion... 详细信息
来源: 评论
Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024年 第7期46卷 5062-5079页
作者: Wen, Peisong Xu, Qianqian Yang, Zhiyong He, Yuan Huang, Qingming Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Comp Sci & Technol Beijing 101408 Peoples R China Alibaba Grp Hangzhou Peoples R China Univ Chinese Acad Sci Key Lab Big Data Min & Knowledge Management BDKM Beijing 101408 Peoples R China
Stochastic optimization of the Area Under the Precision-Recall Curve (AUPRC) is a crucial problem for machine learning. Despite extensive studies on AUPRC optimization, generalization is still an open problem. In this... 详细信息
来源: 评论
Online learning affinity measure with CovBoost for multi-target tracking
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NEUROCOMPUTING 2015年 168卷 327-335页
作者: Li, Guorong Huang, Qingming Jiang, Shuqiang Xu, Yingkun Zhang, Weigang Univ Chinese Acad Sci CAS Beijing 100190 Peoples R China Chinese Acad Sci Inst Comput Tech Key Lab Intell Info Proc Beijing 100080 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing Peoples R China Harbin Inst Tech Sch Comp Sci & Technol Harbin Heilongjiang Peoples R China
In this paper, we propose a new online learning method for measuring affinity between tracklets in multi-target tracking. As targets and background usually keep changing in the video, fixed affinity measurement could ... 详细信息
来源: 评论
ν-Structural Nonparallel Support Vector Machine for Pattern Classification
ν-Structural Nonparallel Support Vector Machine for Pattern...
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IEEE/WIC/ACM International Conference on Web Intelligence (WI)
作者: Chen, Dandan Tian, Yingjie Univ Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Sch Math Sci Beijing 100190 Peoples R China Univ Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China
The nu-nonparallel support vector machine (nu-SNPSVM) for classification has the advantage of using a parameter. on controlling the number of support vectors. However, it ignores the prior structural information in da... 详细信息
来源: 评论