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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 Incremental Local Evolutionary Outlier Detection for Dynamic Social Networks
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    Chapter 2 How Long Will She Call Me? Distribution, Social Theory and Duration Prediction
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    Chapter 3 Discovering Nested Communities
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    Chapter 4 CSI: Community-Level Social Influence Analysis
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    Chapter 5 Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases
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    Chapter 6 Error Prediction with Partial Feedback
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    Chapter 7 Boot-Strapping Language Identifiers for Short Colloquial Postings
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    Chapter 8 A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions
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    Chapter 9 Learning Socially Optimal Information Systems from Egoistic Users
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    Chapter 10 Socially Enabled Preference Learning from Implicit Feedback Data
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    Chapter 11 Cross-Domain Recommendation via Cluster-Level Latent Factor Model
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    Chapter 12 Minimal Shrinkage for Noisy Data Recovery Using Schatten- p Norm Objective
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    Chapter 13 Noisy Matrix Completion Using Alternating Minimization
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    Chapter 14 A Nearly Unbiased Matrix Completion Approach
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    Chapter 15 A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank
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    Chapter 16 Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization
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    Chapter 17 Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data
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    Chapter 18 An Analysis of Tensor Models for Learning on Structured Data
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    Chapter 19 Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model
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    Chapter 20 Taxonomic Prediction with Tree-Structured Covariances
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    Chapter 21 Position Preserving Multi-Output Prediction
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    Chapter 22 Structured Output Learning with Candidate Labels for Local Parts
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    Chapter 23 Shared Structure Learning for Multiple Tasks with Multiple Views
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    Chapter 24 Using Both Latent and Supervised Shared Topics for Multitask Learning
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    Chapter 25 Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions
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    Chapter 26 Multi-core Structural SVM Training
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    Chapter 27 Multi-label Classification with Output Kernels
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    Chapter 28 Boosting for Unsupervised Domain Adaptation
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    Chapter 29 Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines
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    Chapter 30 A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data
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    Chapter 31 A Bayesian Classifier for Learning from Tensorial Data
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    Chapter 32 Prediction with Model-Based Neutrality
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    Chapter 33 Decision-Theoretic Sparsification for Gaussian Process Preference Learning
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    Chapter 34 Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures
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    Chapter 35 Sparsity in Bayesian Blind Source Separation and Deconvolution
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    Chapter 36 Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis
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    Chapter 37 Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models
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    Chapter 38 Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
  40. Altmetric Badge
    Chapter 39 Machine Learning and Knowledge Discovery in Databases
  41. Altmetric Badge
    Chapter 40 From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering
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    Chapter 41 Hub Co-occurrence Modeling for Robust High-Dimensional k NN Classification
  43. Altmetric Badge
    Chapter 42 Fast k NN Graph Construction with Locality Sensitive Hashing
  44. Altmetric Badge
    Chapter 43 Mixtures of Large Margin Nearest Neighbor Classifiers
Overall attention for this book and its chapters
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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
1364 Mendeley
Summary X Dimensions citations
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Title
Machine Learning and Knowledge Discovery in Databases
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-40991-2
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

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 1,364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 2%
Germany 11 <1%
United Kingdom 10 <1%
France 7 <1%
China 4 <1%
Sweden 4 <1%
Brazil 4 <1%
Malaysia 3 <1%
Netherlands 3 <1%
Other 29 2%
Unknown 1265 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 370 27%
Student > Master 269 20%
Researcher 149 11%
Student > Bachelor 89 7%
Student > Doctoral Student 67 5%
Other 181 13%
Unknown 239 18%
Readers by discipline Count As %
Computer Science 639 47%
Engineering 164 12%
Social Sciences 36 3%
Mathematics 36 3%
Business, Management and Accounting 33 2%
Other 187 14%
Unknown 269 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 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, scoring higher 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, scoring higher than 53% of its contemporaries.

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