Innovations in Intelligent Machines-4: Recent Advances in Knowledge Engineering

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Colette Faucher, Lakhmi C. Jain
Springer, Nov 18, 2013 - Technology & Engineering - 412 pages
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This research volume is a continuation of our previous volumes on intelligent machine. It is divided into three parts. Part I deals with big data and ontologies. It includes examples related to the text mining, rule mining and ontology. Part II is on knowledge-based systems. It includes context-centered systems, knowledge discovery, interoperability, consistency and systems of systems. The final part is on applications. The applications involve prediction, decision optimization and assessment.

This book is directed to the researchers who wish to explore the field of knowledge engineering further.

 

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Contents

1 Large Scale Text Mining Approaches for Information Retrieval and Extraction
3
2 Interestingness Measures for MultiLevel Association Rules
47
3 Building a Schistosomiasis Process Ontology for an Epidemiological Monitoring System
75
Part IIKnowledgeBased Systems
102
4 A ContextCentered Architecture for Intelligent Assistant Systems
103
5 Knowledge Engineering or Digital Humanities?
129
TOM4D and TOM4L
189
7 A CDSS Supporting Clinical Guidelines Integrated and Interoperable Within the Clinical Information System
233
9 Paraconsistent Annotated Logic Programs and Application to Intelligent Verification Systems
279
Part IIIApplications
316
Assessment of Bank Loan Applicants
319
11 Prediction of LongTerm Government Bond Yields Using Statistical and Artificial Intelligence Methods
341
12 Optimization of Decision Rules Based on Dynamic Programming Approach
369
13 Relationships Among Various Parameters for Decision Tree Optimization
393
About the Editors
411
Copyright

8 Applying Semantics and Data Interoperability Principles for Cloud Management Systems
257

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