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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 2: Tackling the DMN Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning
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mendeley
11 Mendeley
Summary
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Chapter title
Tackling the DMN Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning
Chapter number 2
Book title
Rules and Reasoning
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-57977-7_2
Book ISBNs
978-3-03-057976-0, 978-3-03-057977-7
Authors

Bram Aerts, Simon Vandevelde, Joost Vennekens

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Student > Doctoral Student 1 9%
Researcher 1 9%
Unknown 6 55%
Readers by discipline Count As %
Computer Science 4 36%
Unknown 7 64%

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