نتایج جستجو برای: dq
تعداد نتایج: 10685 فیلتر نتایج به سال:
Azure A and methylene blue ("Diff-Quik," DQ) and tissue urease (U) tests are popular methods to diagnose Helicobacter pylori. These tests usually correlate well but sometimes produce discordant results. This study evaluates the DQ and U tests by comparing them with the immunoperoxidase reference method to resolve discordant results. DQ and U tests were performed on gastric biopsies. Results wer...
روش دیفرانسیل کوادرچر (dq) روشی با کارآیی بالا و دقیق برای حل معادلات دیفرانسل پاره ای است که حجم محاسبات مورد نیاز برای استفاده از آن بسیار کم می باشد ولی در صورت دو بعدی بودن دامنه حل، فقط در نواحی منظم قابل کاربرد است. از سوی دیگر روش دیفرانسیل کوادرچر بر مبنای توابع پایه شعاعی که به دو صورت کلی (rbf-dq) و محلی (lrbf-dq) قابل کاربرد است، روشی غیر وابسته به شبکه است که قابلیت مدل سازی مرزهای ...
DQ metadata can be stored in a Metadata Repository (MDR). The structure of the MDR should be carefully defined to ensure a maximum amount of flexibility, generality and ease of use. It should also implement the major aspects of DQ management that are represented in the architecture of DQ. The basic DQ Metamodel should first provide representation of information products and data objects. It sho...
DQ metadata can be stored in a Metadata Repository (MDR). The structure of the MDR should be carefully defined to ensure a maximum amount of flexibility, generality and ease of use. It should also implement the major aspects of DQ management that are represented in the architecture of DQ. The basic DQ Metamodel should first provide representation of information products and data objects. It sho...
Data quality (DQ) assessment can be significantly enhanced with the use of the right DQ assessment methods, which provide automated solutions to assess DQ. The range of DQ assessment methods is very broad: from data profiling and semantic profiling to data matching and data validation. This paper gives an overview of current methods for DQ assessment and classifies the DQ assessment methods int...
Recent studies indicated that companies are increasingly experiencing data quality (DQ) related problems resulting from their increased data collection efforts. Addressing these concerns requires a clear definition of DQ but typically, DQ is only broadly defined as ‘fitness for use’. While capturing its essence, a more precise interpretation of DQ is required during measurement. While there is ...
OBJECTIVE Harmonized data quality (DQ) assessment terms, methods, and reporting practices can establish a common understanding of the strengths and limitations of electronic health record (EHR) data for operational analytics, quality improvement, and research. Existing published DQ terms were harmonized to a comprehensive unified terminology with definitions and examples and organized into a co...
Required) Organizations continue to manage poor quality data despite being aware of its negative impact on decision making. One effective way of addressing this situation is to inform decision-makers of the quality of the data they are using by providing data quality (DQ) metadata. However, despite its availability, not all decision-makers use DQ metadata. Further, when DQ metadata is included,...
Data Quality (DQ) is seen as critical to effective business decision-making. However, maintaining DQ is often acknowledged as problematic. Asset data is the key enabler in gaining control of assets. The quality asset data provides the foundation for effective Asset Management (AM). Researches have indicated that achieving AM DQ is the key challenge engineering organisations face today. This pap...
Data quality (DQ) metadata is the set of quality measurements associated with the data. Literature has demonstrated that the provision of DQ metadata can improve decision performance. However, it also showed that DQ metadata can overload decision-makers and negatively affect decision performance. In this paper, we examine a technique for reducing this overload by using visualization. Recognizin...
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