↓ Skip to main content

Advances in Intelligent Data Analysis XIV

Overview of attention for book
Cover of 'Advances in Intelligent Data Analysis XIV'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Analytics and Optimisation for Assessing a Ride Sharing System
  3. Altmetric Badge
    Chapter 2 Constraint-Based Querying for Bayesian Network Exploration
  4. Altmetric Badge
    Chapter 3 Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
  5. Altmetric Badge
    Chapter 4 Segregation Discovery in a Social Network of Companies
  6. Altmetric Badge
    Chapter 5 A First-Order-Logic Based Model for Grounded Language Learning
  7. Altmetric Badge
    Chapter 6 A Parallel Distributed Processing Algorithm for Image Feature Extraction
  8. Altmetric Badge
    Chapter 7 Modeling Concept Drift: A Probabilistic Graphical Model Based Approach
  9. Altmetric Badge
    Chapter 8 Diversity-Driven Widening of Hierarchical Agglomerative Clustering
  10. Altmetric Badge
    Chapter 9 Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering
  11. Altmetric Badge
    Chapter 10 Time Series Classification with Representation Ensembles
  12. Altmetric Badge
    Chapter 11 Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study
  13. Altmetric Badge
    Chapter 12 On Binary Reduction of Large-Scale Multiclass Classification Problems
  14. Altmetric Badge
    Chapter 13 Probabilistic Active Learning in Datastreams
  15. Altmetric Badge
    Chapter 14 Implicitly Constrained Semi-supervised Least Squares Classification
  16. Altmetric Badge
    Chapter 15 Diagonal Co-clustering Algorithm for Document-Word Partitioning
  17. Altmetric Badge
    Chapter 16 I-Louvain: An Attributed Graph Clustering Method
  18. Altmetric Badge
    Chapter 17 Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection?
  19. Altmetric Badge
    Chapter 18 Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels
  20. Altmetric Badge
    Chapter 19 Using Entropy as a Measure of Acceptance for Multi-label Classification
  21. Altmetric Badge
    Chapter 20 Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps
  22. Altmetric Badge
    Chapter 21 Exploratory Topic Modeling with Distributional Semantics
  23. Altmetric Badge
    Chapter 22 Assigning Geo-relevance of Sentiments Mined from Location-Based Social Media Posts
  24. Altmetric Badge
    Chapter 23 Continuous and Discrete Deep Classifiers for Data Integration
  25. Altmetric Badge
    Chapter 24 A Bayesian Approach for Identifying Multivariate Differences Between Groups
  26. Altmetric Badge
    Chapter 25 Automatically Discovering Offensive Patterns in Soccer Match Data
  27. Altmetric Badge
    Chapter 26 Fast Algorithm Selection Using Learning Curves
  28. Altmetric Badge
    Chapter 27 Optimally Weighted Cluster Kriging for Big Data Regression
  29. Altmetric Badge
    Chapter 28 Slower Can Be Faster: The iRetis Incremental Model Tree Learner
  30. Altmetric Badge
    Chapter 29 VoQs: A Web Application for Visualization of Questionnaire Surveys
Overall attention for this book and its chapters
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Advances in Intelligent Data Analysis XIV
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-24465-5
ISBNs
978-3-31-924464-8, 978-3-31-924465-5
Authors

Fromont, Elisa, De Bie, Tijl, van Leeuwen, Matthijs

Editors

Elisa Fromont, Tijl De Bie, Matthijs van Leeuwen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Lecturer 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Neuroscience 1 25%
Engineering 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 November 2015.
All research outputs
#14,247,377
of 22,844,985 outputs
Outputs from Lecture notes in computer science
#4,312
of 8,126 outputs
Outputs of similar age
#186,869
of 353,225 outputs
Outputs of similar age from Lecture notes in computer science
#149
of 257 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% 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 353,225 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.