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Granular Knowledge Cube

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Granular Knowledge Cube Synopsis

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.

About This Edition

ISBN: 9783030229801
Publication date:
Author: Alexander Denzler
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 164 pages
Series: Fuzzy Management Methods
Genres: Business mathematics and systems
Data mining
Expert systems / knowledge-based systems
Knowledge management
Databases
Artificial intelligence
Computational and corpus linguistics

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