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Knowledge Discovery, Knowledge Engineering and Knowledge Management

Overview of attention for book
Cover of 'Knowledge Discovery, Knowledge Engineering and Knowledge Management'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Secure Outsourced k NN Data Classification over Encrypted Data Using Secure Chain Distance Matrices
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    Chapter 2 HCC-Learn Framework for Hybrid Learning in Recommender Systems
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    Chapter 3 Analysis and Detection of Unreliable Users in Twitter: Two Case Studies
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    Chapter 4 An Environment to Model Massive Open Online Course Dynamics
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    Chapter 5 An Advanced Driver Assistance Test Cases Generation Methodology Based on Highway Traffic Situation Description Ontologies
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    Chapter 6 Reasoning over Ontologies with DLV
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    Chapter 7 Machine Learning-Assisted Cognition of Driving Context and Avoidance of Road Obstacles
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    Chapter 8 The Evaluation of Ontologies for Quality, Suitability for Reuse, and the Significant Role of Social Factors
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    Chapter 9 Towards a Term Clustering Framework for Modular Ontology Learning
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    Chapter 10 A Semantic Approach to Constraint-Based Reasoning in Geographical Domains
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    Chapter 11 DHPs: Dependency Hearst’s Patterns for Hypernym Relation Extraction
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    Chapter 12 Investigating Knowledge Management Within Small and Medium-Sized Companies: The Proof of Concept Results of a Survey Addressed to Software Development Industry
Attention for Chapter 2: HCC-Learn Framework for Hybrid Learning in Recommender Systems
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Citations

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2 Mendeley
Summary Dimensions citations
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Chapter title
HCC-Learn Framework for Hybrid Learning in Recommender Systems
Chapter number 2
Book title
Knowledge Discovery, Knowledge Engineering and Knowledge Management
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-49559-6_2
Book ISBNs
978-3-03-049558-9, 978-3-03-049559-6
Authors

Rabaa Alabdulrahman, Herna Viktor, Eric Paquet, Alabdulrahman, Rabaa, Viktor, Herna, Paquet, Eric

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%

This page is provided by Altmetric.