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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 Machine Learning for Robotics
  3. Altmetric Badge
    Chapter 2 Declarative Modeling for Machine Learning and Data Mining
  4. Altmetric Badge
    Chapter 3 Machine Learning Methods for Music Discovery and Recommendation
  5. Altmetric Badge
    Chapter 4 Solving Problems with Visual Analytics: Challenges and Applications
  6. Altmetric Badge
    Chapter 5 Analyzing Text and Social Network Data with Probabilistic Models
  7. Altmetric Badge
    Chapter 6 Discovering Descriptive Tile Trees
  8. Altmetric Badge
    Chapter 7 Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees
  9. Altmetric Badge
    Chapter 8 Smoothing Categorical Data
  10. Altmetric Badge
    Chapter 9 An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning
  11. Altmetric Badge
    Chapter 10 Machine Learning and Knowledge Discovery in Databases
  12. Altmetric Badge
    Chapter 11 Combining Subjective Probabilities and Data in Training Markov Logic Networks
  13. Altmetric Badge
    Chapter 12 Score-Based Bayesian Skill Learning
  14. Altmetric Badge
    Chapter 13 A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes
  15. Altmetric Badge
    Chapter 14 Extension of the Rocchio Classification Method to Multi-modal Categorization of Documents in Social Media
  16. Altmetric Badge
    Chapter 15 Label-Noise Robust Logistic Regression and Its Applications
  17. Altmetric Badge
    Chapter 16 Sentiment Classification with Supervised Sequence Embedding
  18. Altmetric Badge
    Chapter 17 The Bitvector Machine: A Fast and Robust Machine Learning Algorithm for Non-linear Problems
  19. Altmetric Badge
    Chapter 18 Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods
  20. Altmetric Badge
    Chapter 19 Hypergraph Spectra for Semi-supervised Feature Selection
  21. Altmetric Badge
    Chapter 20 Learning Neighborhoods for Metric Learning
  22. Altmetric Badge
    Chapter 21 Massively Parallel Feature Selection: An Approach Based on Variance Preservation
  23. Altmetric Badge
    Chapter 22 PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware Devices
  24. Altmetric Badge
    Chapter 23 Classifying Stem Cell Differentiation Images by Information Distance
  25. Altmetric Badge
    Chapter 24 Machine Learning and Knowledge Discovery in Databases
  26. Altmetric Badge
    Chapter 25 Geodesic Analysis on the Gaussian RKHS Hypersphere
  27. Altmetric Badge
    Chapter 26 Boosting Nearest Neighbors for the Efficient Estimation of Posteriors
  28. Altmetric Badge
    Chapter 27 Diversity Regularized Ensemble Pruning
  29. Altmetric Badge
    Chapter 28 Ensembles on Random Patches
  30. Altmetric Badge
    Chapter 29 An Efficiently Computable Support Measure for Frequent Subgraph Pattern Mining
  31. Altmetric Badge
    Chapter 30 Efficient Graph Kernels by Randomization
  32. Altmetric Badge
    Chapter 31 Graph Mining for Object Tracking in Videos
  33. Altmetric Badge
    Chapter 32 Hypergraph Learning with Hyperedge Expansion
  34. Altmetric Badge
    Chapter 33 Nearly Exact Mining of Frequent Trees in Large Networks
  35. Altmetric Badge
    Chapter 34 Reachability Analysis and Modeling of Dynamic Event Networks
  36. Altmetric Badge
    Chapter 35 CC-MR – Finding Connected Components in Huge Graphs with MapReduce
  37. Altmetric Badge
    Chapter 36 Fast Near Neighbor Search in High-Dimensional Binary Data
  38. Altmetric Badge
    Chapter 37 Fully Sparse Topic Models
  39. Altmetric Badge
    Chapter 38 Learning Compact Class Codes for Fast Inference in Large Multi Class Classification
  40. Altmetric Badge
    Chapter 39 ParCube: Sparse Parallelizable Tensor Decompositions
  41. Altmetric Badge
    Chapter 40 Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses
  42. Altmetric Badge
    Chapter 41 Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets
  43. Altmetric Badge
    Chapter 42 Author Name Disambiguation Using a New Categorical Distribution Similarity
  44. Altmetric Badge
    Chapter 43 Lifted Online Training of Relational Models with Stochastic Gradient Methods
  45. Altmetric Badge
    Chapter 44 Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information
  46. Altmetric Badge
    Chapter 45 Machine Learning and Knowledge Discovery in Databases
  47. Altmetric Badge
    Chapter 46 Efficient Training of Graph-Regularized Multitask SVMs
  48. Altmetric Badge
    Chapter 47 Geometry Preserving Multi-task Metric Learning
  49. Altmetric Badge
    Chapter 48 Learning and Inference in Probabilistic Classifier Chains with Beam Search
  50. Altmetric Badge
    Chapter 49 Learning Multiple Tasks with Boosted Decision Trees
  51. Altmetric Badge
    Chapter 50 Multi-Task Boosting by Exploiting Task Relationships
  52. Altmetric Badge
    Chapter 51 Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach
  53. Altmetric Badge
    Chapter 52 Collective Information Extraction with Context-Specific Consistencies
  54. Altmetric Badge
    Chapter 53 Supervised Learning of Semantic Relatedness
  55. Altmetric Badge
    Chapter 54 Unsupervised Bayesian Part of Speech Inference with Particle Gibbs
  56. Altmetric Badge
    Chapter 55 WikiSent: Weakly Supervised Sentiment Analysis through Extractive Summarization with Wikipedia
  57. Altmetric Badge
    Chapter 56 Adaptive Two-View Online Learning for Math Topic Classification
  58. Altmetric Badge
    Chapter 57 BDUOL: Double Updating Online Learning on a Fixed Budget
  59. Altmetric Badge
    Chapter 58 Handling Time Changing Data with Adaptive Very Fast Decision Rules
  60. Altmetric Badge
    Chapter 59 Improved Counter Based Algorithms for Frequent Pairs Mining in Transactional Data Streams
  61. Altmetric Badge
    Chapter 60 Mirror Descent for Metric Learning: A Unified Approach
Overall attention for this book and its chapters
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
15 X users
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
73 Mendeley
Summary X Wikipedia Reddit Dimensions citations
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
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-33460-3
ISBNs
978-3-64-233459-7, 978-3-64-233460-3
Authors

Flach, Peter A, Bie, Tijl, Cristianini, Nello, Flach, Peter, De Bie, Tijl

Editors

Peter A. Flach, Tijl De Bie, Nello Cristianini

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Unknown 71 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 23%
Student > Ph. D. Student 13 18%
Student > Bachelor 10 14%
Researcher 9 12%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 9 12%
Readers by discipline Count As %
Engineering 16 22%
Environmental Science 12 16%
Earth and Planetary Sciences 7 10%
Social Sciences 5 7%
Agricultural and Biological Sciences 5 7%
Other 13 18%
Unknown 15 21%
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 11 February 2019.
All research outputs
#3,676,966
of 25,388,229 outputs
Outputs from Lecture notes in computer science
#762
of 8,151 outputs
Outputs of similar age
#27,764
of 249,961 outputs
Outputs of similar age from Lecture notes in computer science
#52
of 485 outputs
Altmetric has tracked 25,388,229 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 90% 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 249,961 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 88% of its contemporaries.
We're also able to compare this research output to 485 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.

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