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Innovations in Intelligent Machines-4

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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
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Chapter title
Innovations in Intelligent Machines-4
Chapter number 2
Book title
Innovations in Intelligent Machines-4
Published by
Springer Nature, November 2013
DOI 10.1007/978-3-319-01866-9_2
Book ISBNs
978-3-31-901865-2, 978-3-31-901866-9
Authors

Colette Faucher, Lakhmi C. Jain, Gavin Shaw, Yue Xu, Shlomo Geva, Shaw, Gavin, Xu, Yue, Geva, Shlomo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 56%
Student > Master 2 22%
Researcher 1 11%
Unspecified 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Unspecified 1 11%
Decision Sciences 1 11%
Engineering 1 11%

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