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Development and Evaluation of Measuring Parameters for Data Warehouse

Authors: Ilyas Khan; Vijay Athavale; Shiv Kumar; Neetesh Gupta;

Development and Evaluation of Measuring Parameters for Data Warehouse

Abstract

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 into consideration as a business oriented Organizations. The sizes of such Institutions are growing and to keep all the academic data DBMS will not suffice. The only thing which can be deal with large, Huge Academic Data is Data Warehouse. To design and Measurement of quality of a Data Warehouse for Educational Institute is very much needed and we must need an understanding about this Technology

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    popularity
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    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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