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Analysis sharing method by managing provenance of query

Authors: Hiromitsu Nakagawa; Keiro Muro;

Analysis sharing method by managing provenance of query

Abstract

Measured data analysis generally requires a large amount of resources since each analyst individually examines data in their own way. We propose the Query Object Graph Analysis method for enabling analysis sharing among analysts. The proposed method can prevent duplicate processing and data explosion by managing analysis data in unified forms of time-series and range-series and by representing and sharing the analysis procedure as a graph pointing to the analysis data. We evaluated this effect regarding damage analysis of a structure and found that the proposed method can reduce program execution time by 2/3 and the amount of analysis data by 1/3. This makes efficient analysis possible by several analysts using the same data source.

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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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