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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), 2017The 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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An application of data warehouse technology to the measurement system for UML based artifacts
25th Annual International Computer Software and Applications Conference. COMPSAC 2001, 2002A novel system, Project Data Warehouse, for the measurement of changes in development artifacts based on data warehouse technology is reported. The new system is based on an architecture that is extendable to store various kinds of UML based development artifacts and flexible to apply the various types of measurements to quantify the changes in those ...
T. Fujii, Y. Kambayashi
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ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers
arXiv.orgWith the end of Moore's Law, optimizing code for performance has become paramount for meeting ever-increasing compute demands, particularly in hyperscale data centers where even small efficiency gains translate to significant resource and energy savings.
Hannah Lin +16 more
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A Grading Data Warehouse Approach to Measuring and Analyzing Learning Performance
2018E-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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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 +2 more
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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 +2 more
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A Brief IT-Project Risk Assessment Procedure for Business Data Warehouse Development
Informatics and Cybernetics in Intelligent Systems, 2021T. Kravchenko, T. Shevgunov
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2015 International Workshop on Data Mining with Industrial Applications (DMIA), 2015
In this work we proposes an Integrated Strategy based in Processes, Requirements, Measurement and Evaluation, whose objective is to identify and maintain a traceability of such requirements at early stages in data warehouse projects. Our strategy starts with the process formalization using SPEM to improve its communicability and extensibility. From the
Avalos Veronica Nathali +1 more
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In this work we proposes an Integrated Strategy based in Processes, Requirements, Measurement and Evaluation, whose objective is to identify and maintain a traceability of such requirements at early stages in data warehouse projects. Our strategy starts with the process formalization using SPEM to improve its communicability and extensibility. From the
Avalos Veronica Nathali +1 more
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Journal of Clinical Oncology, 2013
6520 Background: We previously reported that alternative cutpoints and alternate categorical metrics to RECIST standards provided no meaningful improvement in OS prediction. Here, we sought to identify and validate continuous, longitudinal TM-based metrics for predicting OS.
Sumithra J. Mandrekar +5 more
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6520 Background: We previously reported that alternative cutpoints and alternate categorical metrics to RECIST standards provided no meaningful improvement in OS prediction. Here, we sought to identify and validate continuous, longitudinal TM-based metrics for predicting OS.
Sumithra J. Mandrekar +5 more
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Processing of Crisp and Fuzzy Measures in the Fuzzy Data Warehouse for Global Natural Resources
2010Fuzzy 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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2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
This paper uses a fuzzy data warehouse approach to support the fuzzy analysis of the customer performance measurement. A data warehouse concept supporting fuzzy dimensions and fuzzy facts is described. The potential of the fuzzy data warehouse approach is illustrated using a concrete example of customer performance measurements of a hearing instrument ...
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This paper uses a fuzzy data warehouse approach to support the fuzzy analysis of the customer performance measurement. A data warehouse concept supporting fuzzy dimensions and fuzzy facts is described. The potential of the fuzzy data warehouse approach is illustrated using a concrete example of customer performance measurements of a hearing instrument ...
openaire +1 more source