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Journal of Global Information Technology Management, 2015 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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Clinical Data Warehouse Watermarking: Impact on Syndromic Measure
, 2017 Watermarking appears as a promising tool for the traceability of shared medical databases as it allows hiding the traceability information into the database itself. However, it is necessary to ensure that the distortion resulting from this process does not hinder subsequent data analysis.
Guillaume Bouzillé +4 more
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Processing of Crisp and Fuzzy Measures in the Fuzzy Data Warehouse for Global Natural Resources
, 2010 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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Object based similarity measure for breast medical image retrieval from data warehouse
Proceedings of the 2012 ACM Research in Applied Computation Symposium, 2012 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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Multi Level Multi Attribute Relational Trust Measure Based Integrity Management in Data Warehouse
2017 World Congress on Computing and Communication Technologies (WCCCT), 2017 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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A Grading Data Warehouse Approach to Measuring and Analyzing Learning Performance
, 2018 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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Measuring Mortality Information in Clinical Data Warehouses.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015 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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Data Model Quality Metrics of Data Warehouse: A Survey
Social Science Research Network, 2020Quality of Data warehouse plays major role in managerial strategic decisions. Multidimensional data model acts as base for data warehouse, in this way quality of data model greatly affect data warehouse Quality. Metrics are used to measure the quality of
S. Mann, Meenu Siwach
semanticscholar +1 more source
, 2020
Most local governance assessment tools are entirely or partially based on stakeholders’ surveys, focus groups and benchmarks of different local governments in the world. These tools remain a subjective way of local governance evaluation.
Houda Chakiri, M. E. Mohajir, N. Assem
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Most local governance assessment tools are entirely or partially based on stakeholders’ surveys, focus groups and benchmarks of different local governments in the world. These tools remain a subjective way of local governance evaluation.
Houda Chakiri, M. E. Mohajir, N. Assem
semanticscholar +1 more source
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
openaire +4 more sources