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Inductive Logic Programming

Overview of attention for book
Cover of 'Inductive Logic Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Knowledge-Directed Theory Revision
  3. Altmetric Badge
    Chapter 2 Towards Clausal Discovery for Stream Mining
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    Chapter 3 On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics
  5. Altmetric Badge
    Chapter 4 Induction of Relational Algebra Expressions
  6. Altmetric Badge
    Chapter 5 A Logic-Based Approach to Relation Extraction from Texts
  7. Altmetric Badge
    Chapter 6 Discovering Rules by Meta-level Abduction
  8. Altmetric Badge
    Chapter 7 Inductive Generalization of Analytically Learned Goal Hierarchies
  9. Altmetric Badge
    Chapter 8 Ideal Downward Refinement in the $\mathcal{EL}$ Description Logic
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    Chapter 9 Nonmonotonic Onto-Relational Learning
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    Chapter 10 CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods
  12. Altmetric Badge
    Chapter 11 Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals
  13. Altmetric Badge
    Chapter 12 Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples
  14. Altmetric Badge
    Chapter 13 ProGolem: A System Based on Relative Minimal Generalisation
  15. Altmetric Badge
    Chapter 14 An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge.
  16. Altmetric Badge
    Chapter 15 Boosting First-Order Clauses for Large, Skewed Data Sets
  17. Altmetric Badge
    Chapter 16 Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages
  18. Altmetric Badge
    Chapter 17 Transfer Learning via Relational Templates
  19. Altmetric Badge
    Chapter 18 Inductive Logic Programming
  20. Altmetric Badge
    Chapter 19 Finding Relational Associations in HIV Resistance Mutation Data
  21. Altmetric Badge
    Chapter 20 ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries
  22. Altmetric Badge
    Chapter 21 Parameter Screening and Optimisation for ILP Using Designed Experiments
  23. Altmetric Badge
    Chapter 22 Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models
  24. Altmetric Badge
    Chapter 23 Policy Transfer via Markov Logic Networks
  25. Altmetric Badge
    Chapter 24 Can ILP Be Applied to Large Datasets?
Attention for Chapter 13: ProGolem: A System Based on Relative Minimal Generalisation
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Mentioned by

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1 Wikipedia page

Citations

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Readers on

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30 Mendeley
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Chapter title
ProGolem: A System Based on Relative Minimal Generalisation
Chapter number 13
Book title
Inductive Logic Programming
Published in
ADS, July 2009
DOI 10.1007/978-3-642-13840-9_13
Book ISBNs
978-3-64-213839-3, 978-3-64-213840-9
Authors

Stephen Muggleton, José Santos, Alireza Tamaddoni-Nezhad, Muggleton, Stephen, Santos, José, Tamaddoni-Nezhad, Alireza

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
China 1 3%
Australia 1 3%
Austria 1 3%
Unknown 26 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Student > Ph. D. Student 6 20%
Researcher 4 13%
Professor 3 10%
Professor > Associate Professor 2 7%
Other 6 20%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 24 80%
Mathematics 2 7%
Engineering 2 7%
Unknown 2 7%
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 21 October 2022.
All research outputs
#7,752,409
of 23,570,677 outputs
Outputs from ADS
#9,524
of 38,212 outputs
Outputs of similar age
#37,939
of 111,555 outputs
Outputs of similar age from ADS
#98
of 278 outputs
Altmetric has tracked 23,570,677 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 38,212 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 111,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.