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Rules and Reasoning

Overview of attention for book
Cover of 'Rules and Reasoning'

Table of Contents

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    Book Overview
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    Chapter 1 Rule-Based Multi-label Classification: Challenges and Opportunities
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    Chapter 2 Tackling the DMN Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning
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    Chapter 3 Query Answering in Fuzzy DL-Lite with Graded Axioms
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    Chapter 4 New Rule Induction Method by Use of a Co-occurrence Set from the Decision Table
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    Chapter 5 An ASP-Based Approach to Counterfactual Explanations for Classification
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    Chapter 6 Benchmark for Performance Evaluation of SHACL Implementations in Graph Databases
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    Chapter 7 Dialogue Games for Explaining Medication Choices
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    Chapter 8 Invertible Bidirectional Metalogical Translation Between Prolog and RuleML for Knowledge Representation and Querying
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    Chapter 9 Reasoning Under Uncertainty in Knowledge Graphs
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    Chapter 10 Distributed Reasoning for Restricted Weakly-Linear Disjunctive Tuple-Generating Dependencies
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    Chapter 11 Symbolic Similarity Relations for Tuning Fully Integrated Fuzzy Logic Programs
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    Chapter 12 Contestable Black Boxes
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    Chapter 13 On Defining Rules for Cancer Data Fabrication
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    Chapter 14 On the Formal Representation of the Australian Spent Conviction Scheme
Attention for Chapter 1: Rule-Based Multi-label Classification: Challenges and Opportunities
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6 Mendeley
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Chapter title
Rule-Based Multi-label Classification: Challenges and Opportunities
Chapter number 1
Book title
Rules and Reasoning
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-57977-7_1
Book ISBNs
978-3-03-057976-0, 978-3-03-057977-7
Authors

Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencia, Vu-Linh Nguyen, Michael Rapp

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Student > Ph. D. Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Unknown 4 67%

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