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Granular Knowledge Cube : An Expert Finder System for Knowledge Carriers / / by Alexander Denzler



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Autore: Denzler Alexander Visualizza persona
Titolo: Granular Knowledge Cube : An Expert Finder System for Knowledge Carriers / / by Alexander Denzler Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (166 pages)
Disciplina: 006.3
Soggetto topico: Management information systems
Data mining
Knowledge management
Data structures (Computer science)
Artificial intelligence
Computational linguistics
Business Information Systems
Data Mining and Knowledge Discovery
Knowledge Management
Data Storage Representation
Artificial Intelligence
Computational Linguistics
Nota di contenuto: Part I: Motivation and Objectives -- Part II: Background -- Part III: Conceptual Framework -- Part IV: Architecture and Inference System -- Part V: Conclusions.
Sommario/riassunto: This book introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so. Further, it details how this is accomplished by combining granular computing, natural language processing and a set of metrics that it introduces to measure and compare candidates’ suitability. The book describes profiling techniques that can be used to assess knowledge requirements on the basis of a given problem statement or question, so as to ensure that only the most suitable candidates are recommended. The book brings together findings from natural language processing, artificial intelligence and big data, which it subsequently applies to the context of expert finder systems. Accordingly, it will appeal to researchers, developers and innovators alike. .
Titolo autorizzato: Granular Knowledge Cube  Visualizza cluster
ISBN: 3-030-22978-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337806403321
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Serie: Fuzzy Management Methods, . 2196-4130