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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/117662...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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A Functional Model for Data Analysis

Authors: Nicolas Spyratos;

A Functional Model for Data Analysis

Abstract

We present a functional model for the analysis of large volumes of detailed transactional data, accumulated over time. In our model, the data schema is an acyclic graph with a single root, and data analysis queries are formulated using paths starting at the root. The root models the objects of an application and the remaining nodes model attributes of the objects. Our objective is to use this model as a simple interface for the analyst to formulate queries, and then map the queries to a commercially available system for the actual evaluation.

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    Average
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
12
Average
Top 10%
Top 10%
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