Big Data Management and Analytics for Disability Datasets

被引:1
|
作者
Pan, Zhiwen [1 ]
Ji, Wen [1 ]
Chen, Yiqiang [1 ]
Dai, Lianjun [2 ]
Zhang, Jun [2 ]
机构
[1] Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China
[2] Informat Ctr China Disabled Persons Federat, Beijing, Peoples R China
来源
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON CROWD SCIENCE AND ENGINEERING (ICCSE 2018) | 2018年
基金
北京市自然科学基金; 国家重点研发计划; 中国国家自然科学基金;
关键词
Data Mining; Disability Population; Data Management; Big data analytics; Decision support systems; Disability Dataset;
D O I
10.1145/3265689.3265721
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The disability datasets is the datasets which contains the information of disabled populations. By analyzing these datasets, professionals who work with disabled populations can have a better understanding of how to make working plans and policies, so that they support the populations in a better way. In this paper, we proposed a big data management and mining approach for disability datasets. The contributions of this paper are follows: 1) our proposed approach can improve the quality of disability data by estimating miss attribute values and detecting anomaly and low-quality data instances. 2) Our proposed approach can explore useful patterns which reflect the correlation, association and interactional between the disability data attributes. Experiments are conducted at the end to evaluate the performance of our approach.
引用
收藏
页数:6
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