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Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach

Overview of attention for article published in Data Mining & Knowledge Discovery, January 2004
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
20 patents

Citations

dimensions_citation
1318 Dimensions

Readers on

mendeley
523 Mendeley
citeulike
11 CiteULike
Title
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Published in
Data Mining & Knowledge Discovery, January 2004
DOI 10.1023/b:dami.0000005258.31418.83
Authors

Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao

Mendeley readers

The data shown below were compiled from readership statistics for 523 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 12 2%
United States 9 2%
France 8 2%
United Kingdom 6 1%
India 6 1%
Brazil 6 1%
China 5 <1%
Australia 3 <1%
Iran, Islamic Republic of 2 <1%
Other 19 4%
Unknown 447 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 146 28%
Student > Master 135 26%
Researcher 60 11%
Student > Bachelor 42 8%
Professor > Associate Professor 28 5%
Other 112 21%
Readers by discipline Count As %
Computer Science 403 77%
Engineering 40 8%
Unspecified 25 5%
Agricultural and Biological Sciences 13 2%
Business, Management and Accounting 11 2%
Other 31 6%

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 10 April 2018.
All research outputs
#3,741,472
of 12,781,938 outputs
Outputs from Data Mining & Knowledge Discovery
#60
of 266 outputs
Outputs of similar age
#103,991
of 274,484 outputs
Outputs of similar age from Data Mining & Knowledge Discovery
#4
of 10 outputs
Altmetric has tracked 12,781,938 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 266 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 274,484 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 60% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.