Big Data Market Optimization Pricing Model Based on Data Quality

Table 1

Metric definitions, description, and calculation.

Attributes	Metric	Description	Variables	Formula
Accuracy	Proportion of accurate cells	Indicate the proportion cells in a data source that has correct value according to the domain and the type of information of the data source.	nce: Number of cells with errors; ncl: Number of cells	pac=1-
Completeness	Proportion of complete cells	Indicate the proportion of complete cells in a dataset. It means the cells that are not empty and have a meaningful value assigned (i.e., a value coherent with the domain of the column).	nr: Number of rows; nc: Number of columns; ic: Number of incomplete cells; ncl: Number of cells	pcc=1-
Redundancy	Proportion of duplicate records	Redundancy expresses the proportion of duplicate records in the data source. Since this factor is the cost-indicator, we convert it to the benefit-indicator.	nr: Number of rows; red: Number of duplicate records	pdc=1-