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Innovations in Intelligent Machines-4

Overview of attention for book
Cover of 'Innovations in Intelligent Machines-4'

Table of Contents

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    Book Overview
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    Chapter 1 Large Scale Text Mining Approaches for Information Retrieval and Extraction
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    Chapter 2 Innovations in Intelligent Machines-4
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    Chapter 3 Building a Schistosomiasis Process Ontology for an Epidemiological Monitoring System
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    Chapter 4 A Context-Centered Architecture for Intelligent Assistant Systems
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    Chapter 5 Knowledge Engineering or Digital Humanities?
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    Chapter 6 Integrating Knowledge Engineering with Knowledge Discovery in Database: TOM4D and TOM4L
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    Chapter 7 A CDSS Supporting Clinical Guidelines Integrated and Interoperable Within the Clinical Information System
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    Chapter 8 Applying Semantics and Data Interoperability Principles for Cloud Management Systems
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    Chapter 9 Paraconsistent Annotated Logic Programs and Application to Intelligent Verification Systems
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    Chapter 10 Fuzzy and Neuro-Symbolic Approaches in Personal Credit Scoring: Assessment of Bank Loan Applicants
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    Chapter 11 Prediction of Long-Term Government Bond Yields Using Statistical and Artificial Intelligence Methods
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    Chapter 12 Optimization of Decision Rules Based on Dynamic Programming Approach
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    Chapter 13 Relationships Among Various Parameters for Decision Tree Optimization
Attention for Chapter 3: Building a Schistosomiasis Process Ontology for an Epidemiological Monitoring System
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mendeley
8 Mendeley
Summary
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Chapter title
Building a Schistosomiasis Process Ontology for an Epidemiological Monitoring System
Chapter number 3
Book title
Innovations in Intelligent Machines-4
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-01866-9_3
Book ISBNs
978-3-31-901865-2, 978-3-31-901866-9
Authors

Gaoussou Camara, Sylvie Despres, Rim Djedidi, Moussa Lo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Unknown 5 63%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 13%
Agricultural and Biological Sciences 1 13%
Economics, Econometrics and Finance 1 13%
Unknown 5 63%

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