Big Data Management and Analytics for Disability Datasets
| Autor: | Zhiwen Pan, Lianjun Dai, Jun Zhang, Wen Ji, Yiqiang Chen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Decision support system
business.industry Computer science Big data management media_common.quotation_subject Data management 05 social sciences Big data Data science Analytics 0502 economics and business 050211 marketing Quality (business) Association (psychology) business 050203 business & management media_common |
| Zdroj: | ICCSE |
| DOI: | 10.1145/3265689.3265721 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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