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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Hardcover. Zustand: Good. Hardcover, xx + 412 pages, NOT ex-library. Minor cosmetic wear, book is clean and bright throughout, with unmarked text, free of inscriptions and stamps; firmly bound. Small scuff marks on spine and board edges. -- Contents [+ Introduction & Conclusion & References in each section]: I Big Data & Ontologies: 1 Large Scale Text Mining Approaches for Information Retrieval & Extraction [Symbolic & Numerical Approaches for Natural Language Processing; Information Retrieval Models (Original Boolean; Vector-Space; Probabilistic Models); Information Extraction; From Question-Answering to Knowledge Base Population; Industrial Applications]; 2 Interestingness Measures for Multi-Level Association Rules [Related Work (Diversity- & Peculiarity-Based Measures); Introduction to Association Rule Mining (Multi-Level; Presentation; Redundancy); Concepts & Calculations of the Proposed Interestingness Measures; Experimental Results]; 3 Building a Schistosomiasis Process Ontology for an Epidemiological Monitoring System [Ontological Modeling Approaches; Ontology-Driven Monitoring System of Disease Spreading; Process of Infectious Disease Spreading; Design of the Schistosomiasis Ontology; Ontological Modeling of Processes; Ontology for Infectious Disease Spreading; Use Case: Schistosomiasis Spreading in Senegal]; II Knowledge-Based Systems: 4 Context-Centered Architecture for Intelligent Assistant Systems [Representation of Experience Within Contexts; Exploitation of Experience Bases; Management of an Experience Base; Related Works]; 5 Knowledge Engineering or Digital Humanities? [Knowledge Engineering for Land Planning: Researchers' Spontaneous Mobilization; Towards a Participatory Intelligence of Territorial Dynamics]; 6 Integrating Knowledge Engineering with Knowledge Discovery in Database: TOM4D & TOM4L [Two Knowledge Sources, Two Different Approaches; Two Knowledge Sources, One Integral Approach; Introduction to the Theory of Timed Observations; TOM4D KE Methodology; TOM4L KDD Process; Application to a Didactic Example]; 7 A CDSS Supporting Clinical Guidelines Integrated & Interoperable Within the Clinical Information System [Materials & Methods; Results; Validation; Discussion]; 8 Applying Semantics & Data Interoperability Principles for Cloud Management Systems [Technology Convergence & Interoperability; Challenges in Data Interoperability; Management by Means of Meta-Ontologies: Using Semantic Annotation; Linked Data & Cloud Management Systems; Linked Data & Scalable Cloud Management]; 9 Paraconsistent Annotated Logic Programs & Application to Intelligent Verification Systems [Annotated Logic Program with Strong Negation; ALPSN to EVALPSN; Before-After EVALPSN; Reasoning System in Bf-EVALPSN; Bf-EVALPSN Safety Verification for Process Order]; III Applications: 10 Fuzzy & Neuro-Symbolic Approaches in Personal Credit Scoring: Assessment of Bank Loan Applicants [Domain Knowledge Modeling; Fuzzy Expert System; Neurule-Based Expert System (Syntax & Semantics; Base Construction from Empirical Source Knowledge; Inference Engine; Evaluation)]; 11 Prediction of Long-Term Government Bond Yields Using Statistical & Artificial Intelligence Methods [Problem Domain & Experimental Data; AI Modelling Approaches; Classical Modelling Approaches (ARIMA & Econometric Model); Experimental Results; Discussion)]; 12 Optimization of Decision Rules Based on Dynamic Programming Approach [Main Notions; Irredundant c-Decision Rules; Directed Acyclic Graph DcT; Procedure of Optimization Relative to Length & Coverage; Sequential Optimization; Greedy Algorithm; Experimental Results]; 13 Relationships Among Various Parameters for Decision Tree Optimization [Preliminaries & Basic Notions; Relationships; Experimental Results]. Bestandsnummer des Verkäufers 004710
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 432 pp. Englisch. Bestandsnummer des Verkäufers 9783319018652
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