Exact(1)
We extracted data on two indicators of data quality, namely: completeness and timelines.
Similar(59)
We also identified a number of problems from the technology dimension of Information Quality, namely: fragmented information, late reporting, repetitive information, incomplete data entry, and delay of lab reports.
In this paper, we introduced four data quality indicators, namely, data volume, completeness, time-dependence, and correctness.
Each AT was evaluated and compared in relation to data quality standards, namely for completeness, comprehensibility, traceability among others.
This graph has the advantages that it can visualize three different levels of data quality in same figure, namely "unacceptable", "acceptable" and "good", and also include a number of measures without becoming unclear, which are features that have been missing in previous presentations.
This paper develops techniques to ensure resiliency, namely: active data quality acquisition, process variable and plant condition assessments, sensor network adaptation, and plant decomposition with knowledge fusion.
In this paper we have focused on three major aspects relating to quality aware query systems, namely measuring data quality, modeling of user׳s data quality preferences, and answering the query in consideration of the defined preferences and measures.
The methods used in this work involved three steps, namely creation of inventories, data quality control, and finally seismic amplitude computation and well display.
This paper introduces a topic which is of growing interest in the traffic control and management community, namely the relation between traffic data quality and the efficiency of traffic management.
DM made a substantial contribution to all MR technical aspects of this proposal namely, pre-testing of MR data quality; computing of the decay curves and T2 relaxation time constants; and all aspects of compilation of MR data.
Although a reconciled phylogenetic tree is the most appropriate illustration of orthology/paralogy assignment, there are a few caveats to such an approach, namely their scalability and sensitivity to data quality.
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