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Machine Learning in Cyber Trust

Overview of attention for book
Attention for Chapter 6: Efficient Mining and Detection of Sequential Intrusion Patterns for Network Intrusion Detection Systems
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1 Facebook page

Citations

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12 Dimensions

Readers on

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1 Mendeley
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Chapter title
Efficient Mining and Detection of Sequential Intrusion Patterns for Network Intrusion Detection Systems
Chapter number 6
Book title
Machine Learning in Cyber Trust
Published in
ADS, January 2009
DOI 10.1007/978-0-387-88735-7_6
Book ISBNs
978-0-387-88734-0, 978-0-387-88735-7
Authors

Mei-Ling Shyu, Zifang Huang, Hongli Luo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 October 2012.
All research outputs
#20,167,959
of 22,679,690 outputs
Outputs from ADS
#33,938
of 37,279 outputs
Outputs of similar age
#163,092
of 168,787 outputs
Outputs of similar age from ADS
#863
of 896 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,279 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% 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 168,787 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 896 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.