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Machine Learning and Knowledge Discovery in Databases

Overview of attention for book
Machine Learning and Knowledge Discovery in Databases
Springer Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1Incremental Local Evolutionary Outlier Detection for Dynamic Social Networks
  3. Altmetric Badge
    Chapter 2How Long Will She Call Me? Distribution, Social Theory and Duration Prediction
  4. Altmetric Badge
    Chapter 3Discovering Nested Communities
  5. Altmetric Badge
    Chapter 4CSI: Community-Level Social Influence Analysis
  6. Altmetric Badge
    Chapter 5Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases
  7. Altmetric Badge
    Chapter 6Error Prediction with Partial Feedback
  8. Altmetric Badge
    Chapter 7Boot-Strapping Language Identifiers for Short Colloquial Postings
  9. Altmetric Badge
    Chapter 8A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions
  10. Altmetric Badge
    Chapter 9Learning Socially Optimal Information Systems from Egoistic Users
  11. Altmetric Badge
    Chapter 10Socially Enabled Preference Learning from Implicit Feedback Data
  12. Altmetric Badge
    Chapter 11Cross-Domain Recommendation via Cluster-Level Latent Factor Model
  13. Altmetric Badge
    Chapter 12Minimal Shrinkage for Noisy Data Recovery Using Schatten- p Norm Objective
  14. Altmetric Badge
    Chapter 13Noisy Matrix Completion Using Alternating Minimization
  15. Altmetric Badge
    Chapter 14A Nearly Unbiased Matrix Completion Approach
  16. Altmetric Badge
    Chapter 15A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank
  17. Altmetric Badge
    Chapter 16Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization
  18. Altmetric Badge
    Chapter 17Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data
  19. Altmetric Badge
    Chapter 18An Analysis of Tensor Models for Learning on Structured Data
  20. Altmetric Badge
    Chapter 19Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model
  21. Altmetric Badge
    Chapter 20Taxonomic Prediction with Tree-Structured Covariances
  22. Altmetric Badge
    Chapter 21Position Preserving Multi-Output Prediction
  23. Altmetric Badge
    Chapter 22Structured Output Learning with Candidate Labels for Local Parts
  24. Altmetric Badge
    Chapter 23Shared Structure Learning for Multiple Tasks with Multiple Views
  25. Altmetric Badge
    Chapter 24Using Both Latent and Supervised Shared Topics for Multitask Learning
  26. Altmetric Badge
    Chapter 25Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions
  27. Altmetric Badge
    Chapter 26Multi-core Structural SVM Training
  28. Altmetric Badge
    Chapter 27Multi-label Classification with Output Kernels
  29. Altmetric Badge
    Chapter 28Boosting for Unsupervised Domain Adaptation
  30. Altmetric Badge
    Chapter 29Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines
  31. Altmetric Badge
    Chapter 30A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data
  32. Altmetric Badge
    Chapter 31A Bayesian Classifier for Learning from Tensorial Data
  33. Altmetric Badge
    Chapter 32Prediction with Model-Based Neutrality
  34. Altmetric Badge
    Chapter 33Decision-Theoretic Sparsification for Gaussian Process Preference Learning
  35. Altmetric Badge
    Chapter 34Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures
  36. Altmetric Badge
    Chapter 35Sparsity in Bayesian Blind Source Separation and Deconvolution
  37. Altmetric Badge
    Chapter 36Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis
  38. Altmetric Badge
    Chapter 37Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models
  39. Altmetric Badge
    Chapter 38Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
  40. Altmetric Badge
    Chapter 39Machine Learning and Knowledge Discovery in Databases
  41. Altmetric Badge
    Chapter 40From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering
  42. Altmetric Badge
    Chapter 41Hub Co-occurrence Modeling for Robust High-Dimensional k NN Classification
  43. Altmetric Badge
    Chapter 42Fast k NN Graph Construction with Locality Sensitive Hashing
  44. Altmetric Badge
    Chapter 43Mixtures of Large Margin Nearest Neighbor Classifiers
Overall attention for this book and its chapters
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
6 X users

Citations

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1 Dimensions

Readers on

mendeley
1499 Mendeley
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Title
Machine Learning and Knowledge Discovery in Databases
Published by
Lecture notes in computer science, January 2013
DOI10.1007/978-3-642-40991-2
ISBNs
978-3-64-240990-5, 978-3-64-240991-2
Authors

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný

Editors

Blockeel, Hendrik, Kersting, Kristian, Nijssen, Siegfried, Železný, Filip

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of6 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 for1,499 Mendeley readers of this research output.Click here to see the associated Mendeley record.

Geographical breakdown

CountryCountAs %
United States242%
Germany11<1%
United Kingdom10<1%
France7<1%
China4<1%
Brazil4<1%
Sweden4<1%
Malaysia3<1%
Netherlands3<1%
Other292%
Unknown140093%

Demographic breakdown

Readers by professional statusCountAs %
Student > Ph. D. Student38025%
Student > Master27518%
Researcher15310%
Student > Bachelor966%
Unspecified815%
Other25117%
Unknown26318%
Readers by disciplineCountAs %
Computer Science65143%
Engineering17111%
Unspecified815%
Mathematics372%
Social Sciences362%
Other22915%
Unknown29420%
Attention Score in Context

Attention Score in Context

This research output has anAltmetric Attention Score of3. 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 on06 February 2019.
All research outputs
#13,372,303
of 23,567,572 outputs
Outputs from Lecture notes in computer science
#3,811
of 8,153 outputs
Outputs of similar age
#157,023
of 284,632 outputs
Outputs of similar age from Lecture notes in computer science
#145
of 318 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoringhigher than 51% 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 284,632 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 318 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoringhigher than 53% of its contemporaries.

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