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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 Industrializing Data Mining, Challenges and Perspectives
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    Chapter 2 From Microscopy Images to Models of Cellular Processes
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    Chapter 3 Data Clustering: 50 Years Beyond K-means
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    Chapter 4 Learning Language from Its Perceptual Context
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    Chapter 5 The Role of Hierarchies in Exploratory Data Mining
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    Chapter 6 Rollout Sampling Approximate Policy Iteration
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    Chapter 7 New Closed-Form Bounds on the Partition Function
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    Chapter 8 Large Margin vs. Large Volume in Transductive Learning
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    Chapter 9 Incremental Exemplar Learning Schemes for Classification on Embedded Devices
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    Chapter 10 A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity
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    Chapter 11 A Critical Analysis of Variants of the AUC
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    Chapter 12 Improving Maximum Margin Matrix Factorization
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    Chapter 13 Finding Reliable Subgraphs from Large Probabilistic Graphs
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    Chapter 14 A Space Efficient Solution to the Frequent String Mining Problem for Many Databases
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    Chapter 15 The Boolean Column and Column-Row Matrix Decompositions
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    Chapter 16 SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs
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    Chapter 17 Mining Conjunctive Sequential Patterns
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    Chapter 18 Adequate Condensed Representations of Patterns
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    Chapter 19 Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data
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    Chapter 20 TOPTMH : Topology Predictor for Transmembrane α -Helices
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    Chapter 21 Learning to Predict One or More Ranks in Ordinal Regression Tasks
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    Chapter 22 Cascade RSVM in Peer-to-Peer Networks
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    Chapter 23 An Algorithm for Transfer Learning in a Heterogeneous Environment
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    Chapter 24 Minimum-Size Bases of Association Rules
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    Chapter 25 Combining Classifiers through Triplet-Based Belief Functions
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    Chapter 26 An Improved Multi-task Learning Approach with Applications in Medical Diagnosis
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    Chapter 27 Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
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    Chapter 28 Sequence Labelling SVMs Trained in One Pass
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    Chapter 29 Semi-supervised Classification from Discriminative Random Walks
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    Chapter 30 Learning Bidirectional Similarity for Collaborative Filtering
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    Chapter 31 Bootstrapping Information Extraction from Semi-structured Web Pages
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    Chapter 32 Online Multiagent Learning against Memory Bounded Adversaries
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    Chapter 33 Scalable Feature Selection for Multi-class Problems
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    Chapter 34 Learning Decision Trees for Unbalanced Data
  36. Altmetric Badge
    Chapter 35 Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities
  37. Altmetric Badge
    Chapter 36 A Fast Method for Training Linear SVM in the Primal
  38. Altmetric Badge
    Chapter 37 On the Equivalence of the SMO and MDM Algorithms for SVM Training
  39. Altmetric Badge
    Chapter 38 Nearest Neighbour Classification with Monotonicity Constraints
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    Chapter 39 Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer
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    Chapter 40 Mining Edge-Weighted Call Graphs to Localise Software Bugs
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    Chapter 41 Hierarchical Distance-Based Conceptual Clustering
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    Chapter 42 Mining Frequent Connected Subgraphs Reducing the Number of Candidates
  44. Altmetric Badge
    Chapter 43 Unsupervised Riemannian Clustering of Probability Density Functions
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    Chapter 44 Online Manifold Regularization: A New Learning Setting and Empirical Study
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    Chapter 45 A Fast Algorithm to Find Overlapping Communities in Networks
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    Chapter 46 A Case Study in Sequential Pattern Mining for IT-Operational Risk
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    Chapter 47 Tight Optimistic Estimates for Fast Subgroup Discovery
  49. Altmetric Badge
    Chapter 48 Watch, Listen & Learn: Co-training on Captioned Images and Videos
  50. Altmetric Badge
    Chapter 49 Parameter Learning in Probabilistic Databases: A Least Squares Approach
  51. Altmetric Badge
    Chapter 50 Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics
  52. Altmetric Badge
    Chapter 51 One-Class Classification by Combining Density and Class Probability Estimation
  53. Altmetric Badge
    Chapter 52 Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth
  54. Altmetric Badge
    Chapter 53 Proper Model Selection with Significance Test
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    Chapter 54 A Projection-Based Framework for Classifier Performance Evaluation
  56. Altmetric Badge
    Chapter 55 Distortion-Free Nonlinear Dimensionality Reduction
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    Chapter 56 Learning with L q  
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    Chapter 57 Catenary Support Vector Machines
  59. Altmetric Badge
    Chapter 58 Exact and Approximate Inference for Annotating Graphs with Structural SVMs
  60. Altmetric Badge
    Chapter 59 Extracting Semantic Networks from Text Via Relational Clustering
  61. Altmetric Badge
    Chapter 60 Ranking the Uniformity of Interval Pairs
  62. Altmetric Badge
    Chapter 61 Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs
  63. Altmetric Badge
    Chapter 62 StreamKrimp : Detecting Change in Data Streams
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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
1 X user
patent
1 patent
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
20 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
Lecture notes in computer science, January 2008
DOI 10.1007/978-3-540-87479-9
ISBNs
978-3-54-087478-2, 978-3-54-087479-9
Authors

Walter Daelemans, Bart Goethals, Katharina Morik

Editors

Daelemans, Walter, Goethals, Bart, Morik, Katharina

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 50%
Student > Bachelor 2 10%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Researcher 1 5%
Other 0 0%
Unknown 4 20%
Readers by discipline Count As %
Computer Science 10 50%
Engineering 4 20%
Earth and Planetary Sciences 1 5%
Linguistics 1 5%
Unknown 4 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 February 2022.
All research outputs
#4,188,036
of 23,072,295 outputs
Outputs from Lecture notes in computer science
#967
of 8,145 outputs
Outputs of similar age
#19,431
of 157,237 outputs
Outputs of similar age from Lecture notes in computer science
#17
of 84 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 88% 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 157,237 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 87% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.