Results 241 to 250 of about 867,799 (293)
Development and Evaluation of Measuring Parameters for Data Warehouse
2009 International Conference on Future Computer and Communication, 2009 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 the definition of Educational Institutions are going to be changed and they are now being taken
Neetesh Gupta +3 more
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Using Ontologies for Measuring Semantic Similarity in Data Warehouse Schema Matching Process
2007 9th International Conference on Telecommunications, 2007 The key step of data warehouse integration is the construction of mappings that link mutually compatible components of data warehouse schemas: dimensions, aggregation levels, attributes and facts. In order to perform the integration process in a semi-automated manner, we must define similarity functions that compare the names and substructures of those
Boris Vrdoljak, A.M. Tjoa, Marko Banek
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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.
Jaime Serida +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.
Bouzille, Guillaume +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.
Dariusz 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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Disease Management, 1998 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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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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