Innovations in Intelligent Machines-4: Recent Advances in Knowledge EngineeringThis 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
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 |
8 Applying Semantics and Data Interoperability Principles for Cloud Management Systems | 257 |
Other editions - View all
Innovations in Intelligent Machines-4: Recent Advances in Knowledge Engineering Colette Faucher,Lakhmi C. Jain No preview available - 2013 |
Innovations in Intelligent Machines-4: Recent Advances in Knowledge Engineering Colette Faucher,Lakhmi C. Jain No preview available - 2016 |
Innovations in Intelligent Machines-4: Recent Advances in Knowledge Engineering Colette Faucher,Lakhmi C. Jain No preview available - 2013 |
Common terms and phrases
algorithm ALPSN antecedent-consequent diversity applicant assessment approach association rules basic bf-inference rule Bayesian Network bf-annotations bf-EVALP clauses bf-EVALPSN bf-literal bf-relation CDSS clinical CommonKADS complete lattice Computational concepts considered contextual element contextual graph coverage CxG simulator ð Þ database decision table decision trees defined document domain dynamic EVALPSN evaluation example expert system foundational ontology fuzzy greedy algorithm infectious disease spreading inference information retrieval information system input instantiation interestingness measures Internet interoperability irredundant c-decision rules Knowledge Engineering labeled loan logic program machine learning monitoring multi-level datasets named entity named entity recognition neurule node nonterminal node observation classes occurrence optimization output overall diversity paraconsistent paraconsistent logic Paris-Saclay Cluster process ontology process Pr proposed query R(po relationships representation represented rows schistosomiasis Sect semantic sequence Springer structure temporal TOM4D TOM4L transitive bf-inference rule values variables vector annotation