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New Frontiers in Mining Complex Patterns

Overview of attention for book
Cover of 'New Frontiers in Mining Complex Patterns'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Learning with Configurable Operators and RL-Based Heuristics
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    Chapter 2 Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses
  4. Altmetric Badge
    Chapter 3 Mining Complex Event Patterns in Computer Networks
  5. Altmetric Badge
    Chapter 4 Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation
  6. Altmetric Badge
    Chapter 5 Retracted: Machine Learning as an Objective Approach to Understanding Music
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    Chapter 6 Pair-Based Object-Driven Action Rules
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    Chapter 7 Effectively Grouping Trajectory Streams
  9. Altmetric Badge
    Chapter 8 Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets
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    Chapter 9 Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
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    Chapter 10 Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels
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    Chapter 11 Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns
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    Chapter 12 Improving Robustness and Flexibility of Concept Taxonomy Learning from Text
  14. Altmetric Badge
    Chapter 13 Discovering Evolution Chains in Dynamic Networks
  15. Altmetric Badge
    Chapter 14 Supporting Information Spread in a Social Internetworking Scenario
  16. Altmetric Badge
    Chapter 15 Context-Aware Predictions on Business Processes: An Ensemble-Based Solution
  17. Altmetric Badge
    Chapter 16 Erratum: Machine Learning as an Objective Approach to Understanding Music
Attention for Chapter 9: Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
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Mentioned by

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1 X user

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29 Mendeley
Summary X
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Chapter title
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
Chapter number 9
Book title
New Frontiers in Mining Complex Patterns
Published in
arXiv, September 2012
DOI 10.1007/978-3-642-37382-4_9
Book ISBNs
978-3-64-237381-7, 978-3-64-237382-4
Authors

Mohamed Khalil El Mahrsi, Fabrice Rossi, El Mahrsi, Mohamed Khalil, Rossi, Fabrice

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Professor 4 14%
Researcher 3 10%
Professor > Associate Professor 3 10%
Student > Bachelor 2 7%
Other 8 28%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 18 62%
Engineering 6 21%
Earth and Planetary Sciences 1 3%
Unknown 4 14%
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 22 October 2013.
All research outputs
#20,207,295
of 22,727,570 outputs
Outputs from arXiv
#667,619
of 932,278 outputs
Outputs of similar age
#152,655
of 171,513 outputs
Outputs of similar age from arXiv
#2,348
of 3,800 outputs
Altmetric has tracked 22,727,570 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 932,278 research outputs from this source. They receive a mean Attention Score of 3.9. 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 171,513 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 3,800 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.

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