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Speed up gradual rule mining from stream data! A B-Tree and OWA-based approach

Overview of attention for article published in Journal of Intelligent Information Systems, November 2009
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About this Attention Score

  • Among the highest-scoring outputs from this source (#20 of 113)
  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

patent
13 patents

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
5 Mendeley
Title
Speed up gradual rule mining from stream data! A B-Tree and OWA-based approach
Published in
Journal of Intelligent Information Systems, November 2009
DOI 10.1007/s10844-009-0112-9
Authors

Jordi Nin, Anne Laurent, Pascal Poncelet

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Student > Master 1 20%
Professor 1 20%
Readers by discipline Count As %
Engineering 2 40%
Computer Science 2 40%
Unspecified 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2018.
All research outputs
#3,399,045
of 11,957,952 outputs
Outputs from Journal of Intelligent Information Systems
#20
of 113 outputs
Outputs of similar age
#98,339
of 266,039 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#1
of 2 outputs
Altmetric has tracked 11,957,952 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 113 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,039 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them