Evaluation of dataset metamodel for describing the structure of datasets
Datasets basically contains data and metadata. Data are often misinterpreted due to insufficient metadata and gives rise to quality issues associated with the datasets such as failure to clearly identify the entity being measured and inability to clarify how the metrics were generated. We believe cr...
| 出版年: | Frontiers in Artificial Intelligence and Applications |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
IOS Press BV
2018
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063395792&doi=10.3233%2f978-1-61499-900-3-650&partnerID=40&md5=27c975ec8ae560bd82a716f365b06031 |