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Big Data Quality Assurance Model and Method

Big data not only brings quantitative problems to computing, but also qualitative problems. In particular, knowledge graphs, social network graphs, etc. are widely used, making graph data an important type of data on the Internet. This type of graph data is usually multi-source data. After multiple data acquisition and integration, quality problems are more likely to occur. Traditional data quality problems are mostly related to relational data, and there are a lot of research results. However, the data quality research on graph data has not been launched, and there is a lack of systematic research on theoretical models and algorithm levels.

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Big data not only brings quantitative problems to computing, but also qualitative problems. In particular, knowledge graphs, social network graphs, etc. are widely used, making graph data an important type of data on the Internet. This type of graph data is usually multi-source data. After multiple data acquisition and integration, quality problems are more likely to occur. Traditional data quality problems are mostly related to relational data, and there are a lot of research results. However, the data quality research on graph data has not been launched, and there is a lack of systematic research on theoretical models and algorithm levels.

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Big data not only brings quantitative problems to

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Big data not only brings quantitative problems to

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Big data not only brings quantitative problems to