| Description |
1 online resource (375 pages) : illustrations |
| Series |
Studies in Computational Intelligence ; volume 514 |
|
Studies in computational intelligence ; volume 514.
|
| Contents |
Part I. Big Data and Ontologies -- Large Scale Text Mining Approaches for Information Retrieval and Extraction / Patrice Bellot, Ludovic Bonnefoy, Vincent Bouvier, Frédéric Duvert and Young-Min Kim -- Interestingness Measures for Multi-Level Association Rules / Gavin Shaw, Yue Xu and Shlomo Geva -- Building a Schistosomiasis Process Ontology for an Epidemiological Monitoring System / Gaoussou Camara, Sylvie Despres, Rim Djedidi and Moussa Lo -- Part II. Knowledge-Based Systems -- A Context-Centered Architecture for Intelligent Assistant Systems / Patrick Brézillon -- Knowledge Engineering or Digital Humanities? / Francis Rousseaux, Pierre Saurel and Jean Petit -- Integrating Knowledge Engineering with Knowledge Discovery in Database: TOM4D and TOM4L / Laura Pomponio and Marc Le Goc -- A CDSS Supporting Clinical Guidelines Integrated and Interoperable Within the Clinical Information System / Bruno Frandji, Dipak Kalra and Marie-Christine Jaulent -- Applying Semantics and Data Interoperability Principles for Cloud Management Systems / J. Martín Serrano-Orozco -- Paraconsistent Annotated Logic Programs and Application to Intelligent Verification Systems / Kazumi Nakamatsu and Jair M. Abe -- Part III. Applications -- Fuzzy and Neuro-Symbolic Approaches in Personal Credit Scoring: Assessment of Bank Loan Applicants / Ioannis Hatzilygeroudis and Jim Prentzas -- Prediction of Long-Term Government Bond Yields Using Statistical and Artificial Intelligence Methods / Marco Castellani and Emanuel A. dos Santos -- Optimization of Decision Rules Based on Dynamic Programming Approach / Beata Zielosko, Igor Chikalov, Mikhail Moshkov and Talha Amin -- Relationships Among Various Parameters for Decision Tree Optimization / Shahid Hussain |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
|
Print version record |
| Subject |
Artificial intelligence -- Technological innovations
|
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Computational intelligence -- Technological innovations
|
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Ingénierie.
|
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Artificial intelligence
|
|
Engineering
|
| Form |
Electronic book
|
| Author |
Faucher, Colette, editor
|
|
Jain, L. C., editor
|
| ISBN |
9783319018669 |
|
3319018663 |
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3319018655 |
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9783319018652 |
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