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A Grading Data Warehouse Approach to Measuring and Analyzing Learning Performance
E-assessment comprises a variety of activities in and beyond the classroom. However, traditional e-learning platforms support only a part of assessment (e.g., individual and group assignments, the grading of such activities, and student record management).
Michael Aram +3 more
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Multi Level Multi Attribute Relational Trust Measure Based Integrity Management in Data Warehouse
The data warehouse maintains huge set of relational data bases and provides access to vast users of the external world. As the database contains various information which are more sensitive in different aspects, maintaining the security and integrity of the databases becomes a challenging issue.
G. Thangaraju +2 more
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Measuring user satisfaction with data warehouses: an exploratory study
Data warehouses are users driven; that is, they allow end-users to be in control of the data. As user satisfaction is commonly acknowledged as the most useful measurement of system success, we identify the underlying factors of end-user satisfaction with data warehouses and develop an instrument to measure these factors.
Leida Chen +3 more
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Object based similarity measure for breast medical image retrieval from data warehouse
In this paper, we propose a new binary pixel matching method to measure the similarity of two objects based on the overlapped areas in a data warehouse. In the proposed approach, suspicious objects are extracted as binary images that consist of background and foreground, which are compared based on counting overlapped pixels. Before measuring the exact
Hyun I. Kim +3 more
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Processing of Crisp and Fuzzy Measures in the Fuzzy Data Warehouse for Global Natural Resources
Fuzzy Data Warehouse (FDW) is a data repository, which contains fuzzy data and allows fuzzy processing of the data. Incorporation of fuzziness into data warehouse systems gives the opportunity to process data at higher level of abstraction and improves the analysis of imprecise data.
Bożena Małysiak-Mrozek +2 more
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Health data warehouses are being developed to integrate a wide variety of databases including personnel and medical claims (inpatient, outpatient, and pharmacy), disability, absenteeism, and health-risk appraisals. This exciting technology can be very helpful in the design, implementation, and evaluation of disease management programs.
Wayne N. Burton, Daniel J. Conti
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Measuring Mortality Information in Clinical Data Warehouses.
The ability to track and report long-term outcomes, especially mortality, is essential for advancing clinical research. The purpose of this study was to present a framework for assessing the quality of mortality information in clinical research databases.
Barrett Jones, David K. Vawdrey
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The purpose of this research is to assess the impact of data warehouse and business intelligence on the business performance of enterprises in developing regions such as Peru. Two models were developed; the qualitative exploratory model employed 23 interviews from several business sectors that use data warehouse and business intelligence.
Rolando Gonzales Martínez +2 more
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INCLUSION OF TIME-VARYING MEASURES IN TEMPORAL DATA WAREHOUSES
Elzbieta Malinowski, Esteban Zimányi
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Managing Late Measurements in Data Warehouses
International Journal of Data Warehousing and Mining, 2007Though in most data warehousing applications no relevance is given to the time when events are recorded, some domains call for a different behavior. In particular, whenever late measurements of events take place, and particularly when the events registered are subject to further updates, the traditional design solutions fail in preserving ...
GOLFARELLI, MATTEO, RIZZI, STEFANO
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