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A measurement model for factors influencing data quality in data warehouse
2016 4th IEEE International Colloquium on Information Science and Technology (CiSt), 2016The quality of data in data warehouse is very important for decision making. That's why we have been interested in studying the factors that influence this data quality. The first influencing factor is the quality of data at the source, and there are many other factors moderating this influence between data quality at the source and data quality at the
Nouha Zellal, Abdellah Zaouia
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Navigating Measurements by Cross-Classifications in Multi-use Data Warehouse
2011 IEEE 11th International Conference on Computer and Information Technology, 2011In a traditional data warehouse, "subject oriented" means that all the measurements relating to the same real-world event or object are linked together. The measurements are classified and navigated by "subject". But in a multi-use data warehouse, users want to classify and navigate the measurements by mutable cross-classifications flexibly. It is hard
Jie Song, Yubin Bao, Zhiliang Zhu
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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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Measurement of the Energy Real-Time Data Warehouse System Design and Implementation
2012 International Conference on Computer Science and Service System, 2012This paper presents the solution of energy measuring real-time data based on C/S structure, elaborates the methods, steps and modeling technology of creating date warehouse in the energy measuring real-time monitoring system, and designs the basic frame of the energy data warehouse analysis system, the energy measuring real-time data is updated into ...
Xue Hong-ye, Yang Qi, Li Ai-guo
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Using integrated process data of longwall shearers in data warehouses for performance measurement
International Journal of Oil, Gas and Coal Technology, 2017Coal, still considered as one of the primary energy resources worldwide, is mined by utilising large scale equipment both on surface operations and underground mines. Technology has become a fundamental piece of modern mining operations that have to track performance of mining equipment in detail for efficient production.
Mustafa Erkayaoğlu, Sean Dessureault
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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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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 ...
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Measurement of Quality Parameters for Data Warehouse
Proceedings of the International Conference on Computer Applications — Database Systems, 2010Ilyas Khan MD., Singh R.K.
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