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Simplified Approach for Data Warehouse Quality Measurement
Data Mining and warehousing is very challenging and interesting field in Computer Science and Information Technology. This field is still in its infant stage and thus a limited documentation on Data Warehousing processes available. As we know that now a days a number of organizations are switching from DBMS to Warehouse to manage their large volume of ...
P.K. Dey, Md. Ilyas Khan, Rajesh Singh
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In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a cornerstone in any data warehouse development project.
Lilia Múñoz+2 more
openalex +4 more sources
Measuring Diversity of Associations Rules Extracted from A Data Warehouse [PDF]
Muhammad Usman
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Changes in healthcare engagement during the COVID-19 pandemic [PDF]
Background Healthcare engagement, defined as the self-efficacy to enact the behaviors needed to obtain optimal benefit from health services, is an important aspect of healthcare quality.
McKenzie Lockett+4 more
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National yearly cost of breast cancer screening in the USA and projected cost of advocated guidelines: a simulation study with life table modelling [PDF]
Objective The aim of this study was to estimate the total national direct cost of breast cancer screening from 2019 to 2022 and project the total national cost and average lifetime cost of screening per woman for three current guidelines.Design We ...
Martin Eklund+11 more
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BackgroundTo reduce the mortality related to bladder cancer, efforts need to be concentrated on early detection of the disease for more effective therapeutic intervention. Strong risk factors (eg, smoking status, age, professional
Sandie Cabon+5 more
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Developing a data quality scorecard that measures data quality in a data warehouse
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University London The main purpose of this thesis is to develop a data quality scorecard (DQS) that aligns the data quality needs of the Data warehouse stakeholder group with selected data quality dimensions.
Aderibigbe Grillo
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INCLUSION OF TIME-VARYING MEASURES IN TEMPORAL DATA WAREHOUSES
Elzbieta Malinowski, Esteban Zimányi
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Data Warehouse/Business Intelligence nowadays has become a necessity for every organization. Data analysis supports in making decisions and policies.
Fahmi+5 more
semanticscholar +1 more source