↓ Skip to main content

Machine Learning and Knowledge Discovery in Databases

Overview of attention for book
Cover of 'Machine Learning and Knowledge Discovery in Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Bayesian Knowledge Corroboration with Logical Rules and User Feedback
  3. Altmetric Badge
    Chapter 2 Learning an Affine Transformation for Non-linear Dimensionality Reduction
  4. Altmetric Badge
    Chapter 3 NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification
  5. Altmetric Badge
    Chapter 4 Hidden Conditional Ordinal Random Fields for Sequence Classification
  6. Altmetric Badge
    Chapter 5 A Unifying View of Multiple Kernel Learning
  7. Altmetric Badge
    Chapter 6 Evolutionary Dynamics of Regret Minimization
  8. Altmetric Badge
    Chapter 7 Recognition of Instrument Timbres in Real Polytimbral Audio Recordings
  9. Altmetric Badge
    Chapter 8 Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks
  10. Altmetric Badge
    Chapter 9 Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
  11. Altmetric Badge
    Chapter 10 Online Knowledge-Based Support Vector Machines
  12. Altmetric Badge
    Chapter 11 Learning with Randomized Majority Votes
  13. Altmetric Badge
    Chapter 12 Exploration in Relational Worlds
  14. Altmetric Badge
    Chapter 13 Efficient Confident Search in Large Review Corpora
  15. Altmetric Badge
    Chapter 14 Learning to Tag from Open Vocabulary Labels
  16. Altmetric Badge
    Chapter 15 A Robustness Measure of Association Rules
  17. Altmetric Badge
    Chapter 16 Automatic Model Adaptation for Complex Structured Domains
  18. Altmetric Badge
    Chapter 17 Collective Traffic Forecasting
  19. Altmetric Badge
    Chapter 18 On Detecting Clustered Anomalies Using SCiForest
  20. Altmetric Badge
    Chapter 19 Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier
  21. Altmetric Badge
    Chapter 20 Online Learning in Adversarial Lipschitz Environments
  22. Altmetric Badge
    Chapter 21 Summarising Data by Clustering Items
  23. Altmetric Badge
    Chapter 22 Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
  24. Altmetric Badge
    Chapter 23 Latent Structure Pattern Mining
  25. Altmetric Badge
    Chapter 24 First-Order Bayes-Ball
  26. Altmetric Badge
    Chapter 25 Learning from Demonstration Using MDP Induced Metrics
  27. Altmetric Badge
    Chapter 26 Demand-Driven Tag Recommendation
  28. Altmetric Badge
    Chapter 27 Solving Structured Sparsity Regularization with Proximal Methods
  29. Altmetric Badge
    Chapter 28 Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
  30. Altmetric Badge
    Chapter 29 Improved MinMax Cut Graph Clustering with Nonnegative Relaxation
  31. Altmetric Badge
    Chapter 30 Integrating Constraint Programming and Itemset Mining
  32. Altmetric Badge
    Chapter 31 Topic Modeling for Personalized Recommendation of Volatile Items
  33. Altmetric Badge
    Chapter 32 Conditional Ranking on Relational Data
Overall attention for this book and its chapters
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
1 X user
patent
2 patents
wikipedia
4 Wikipedia pages

Readers on

mendeley
1366 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
Machine Learning and Knowledge Discovery in Databases
Published by
ADS, September 2010
DOI 10.1007/978-3-642-15883-4
ISBNs
978-3-64-215882-7, 978-3-64-215883-4
Editors

José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag

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 1,366 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1366 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 <1%
Student > Master 1 <1%
Unknown 1364 100%
Readers by discipline Count As %
Computer Science 2 <1%
Unknown 1364 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 June 2023.
All research outputs
#3,246,089
of 23,510,717 outputs
Outputs from ADS
#2,241
of 38,163 outputs
Outputs of similar age
#13,044
of 96,907 outputs
Outputs of similar age from ADS
#23
of 385 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,163 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% 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 96,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 385 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.